Relações entre o comprometimento do trabalhador e as políticas de gestão organizacional em tempos atuais

The present scenario of the employment market, demands an increasing commitment from employees based on one’s potential to offer the often required skills for companies who desire to hold on to a competitive position in its business segment. Studies about the relationship between commitment and the management polices demonstrates that many organizations are still neglecting the importance of their intellectual resources by applying some measures which result in a dangerous psycho-social environment and a decrease in the employee’s commitment. However, some well established organizations, attentive to signs from the market, are showing evidence of strategically integrated policies that invest in strengthening the relationship with their employees.

Políticas de avaliação e gestão escolar: pressupostos e contradições

Pós-graduação em Educação - FFC

Eugene L. Barnwell Papers - Accession 1011

The Eugene L. Barnwell Papers consist of correspondence, newspaper clippings, speeches, training materials, memorabilia, and personal reflections concerning his life and careers in music and public service including his service as mayor of York, SC from 1982-1991. Of particular interest among the Barnwell Papers is his study of municipal management relative to a council/manager form of government.

La gobernanza del sector pesquero en Gran Canaria

Máster en Gestión Sostenible de Recursos Pesqueros

La gobernanza del sector pesquero en Gran Canaria

[ES] El concepto de gobernanza del sector pesquero ha evolucionado notablemente a nivel mundial en los últimos años, conectando a instituciones económicas, administrativas, políticas y sociales, legitimando y equilibrando las interacciones entre todos los actores del sector, dentro de un marco de dimensión local, nacional e internacional. En este trabajo se describe el contexto en el que se inscribe la gobernanza del sector pesquero grancanario en la actualidad y los actores involucrados en dicha actividad, así como sus perfiles sociales, funciones e interacciones. Se analiza la gestión pesquera desde el punto de vista de la agilidad en sus funciones de cada una de las partes implicadas en la misma, en base al estudio de las competencias y cometidos otorgados por ley, el papel real ejercido por cada una y la percepción y concepción de las razones que conducen a la actual crisis del sector. La información analizada se obtuvo a partir de una revisión bibliográfica y la realización de entrevistas y encuestas a distintas personalidades relacionadas con la actividad pesquera. Se proponen medidas generales para promover un mejor funcionamiento organizativo del sector y fomentar su cohesión. Este trabajo proporciona una visión general de la gobernanza de la pesca en Gran Canaria, como punto de partida para la generación de políticas de gestión que integren la dinámica y la complejidad del sector a partir de un mejor conocimiento del mismo.

Sistemi riconfigurabili a basso consumo per applicazioni di monitoraggio distribuito

The term Ambient Intelligence (AmI) refers to a vision on the future of the information society where smart, electronic environment are sensitive and responsive to the presence of people and their activities (Context awareness). In an ambient intelligence world, devices work in concert to support people in carrying out their everyday life activities, tasks and rituals in an easy, natural way using information and intelligence that is hidden in the network connecting these devices. This promotes the creation of pervasive environments improving the quality of life of the occupants and enhancing the human experience. AmI stems from the convergence of three key technologies: ubiquitous computing, ubiquitous communication and natural interfaces. Ambient intelligent systems are heterogeneous and require an excellent cooperation between several hardware/software technologies and disciplines, including signal processing, networking and protocols, embedded systems, information management, and distributed algorithms. Since a large amount of fixed and mobile sensors embedded is deployed into the environment, the Wireless Sensor Networks is one of the most relevant enabling technologies for AmI. WSN are complex systems made up of a number of sensor nodes which can be deployed in a target area to sense physical phenomena and communicate with other nodes and base stations. These simple devices typically embed a low power computational unit (microcontrollers, FPGAs etc.), a wireless communication unit, one or more sensors and a some form of energy supply (either batteries or energy scavenger modules). WNS promises of revolutionizing the interactions between the real physical worlds and human beings. Low-cost, low-computational power, low energy consumption and small size are characteristics that must be taken into consideration when designing and dealing with WSNs. To fully exploit the potential of distributed sensing approaches, a set of challengesmust be addressed. Sensor nodes are inherently resource-constrained systems with very low power consumption and small size requirements which enables than to reduce the interference on the physical phenomena sensed and to allow easy and low-cost deployment. They have limited processing speed,storage capacity and communication bandwidth that must be efficiently used to increase the degree of local ”understanding” of the observed phenomena. A particular case of sensor nodes are video sensors. This topic holds strong interest for a wide range of contexts such as military, security, robotics and most recently consumer applications. Vision sensors are extremely effective for medium to long-range sensing because vision provides rich information to human operators. However, image sensors generate a huge amount of data, whichmust be heavily processed before it is transmitted due to the scarce bandwidth capability of radio interfaces. In particular, in video-surveillance, it has been shown that source-side compression is mandatory due to limited bandwidth and delay constraints. Moreover, there is an ample opportunity for performing higher-level processing functions, such as object recognition that has the potential to drastically reduce the required bandwidth (e.g. by transmitting compressed images only when something ‘interesting‘ is detected). The energy cost of image processing must however be carefully minimized. Imaging could play and plays an important role in sensing devices for ambient intelligence. Computer vision can for instance be used for recognising persons and objects and recognising behaviour such as illness and rioting. Having a wireless camera as a camera mote opens the way for distributed scene analysis. More eyes see more than one and a camera system that can observe a scene from multiple directions would be able to overcome occlusion problems and could describe objects in their true 3D appearance. In real-time, these approaches are a recently opened field of research. In this thesis we pay attention to the realities of hardware/software technologies and the design needed to realize systems for distributed monitoring, attempting to propose solutions on open issues and filling the gap between AmI scenarios and hardware reality. The physical implementation of an individual wireless node is constrained by three important metrics which are outlined below. Despite that the design of the sensor network and its sensor nodes is strictly application dependent, a number of constraints should almost always be considered. Among them: • Small form factor to reduce nodes intrusiveness. • Low power consumption to reduce battery size and to extend nodes lifetime. • Low cost for a widespread diffusion. These limitations typically result in the adoption of low power, low cost devices such as low powermicrocontrollers with few kilobytes of RAMand tenth of kilobytes of program memory with whomonly simple data processing algorithms can be implemented. However the overall computational power of the WNS can be very large since the network presents a high degree of parallelism that can be exploited through the adoption of ad-hoc techniques. Furthermore through the fusion of information from the dense mesh of sensors even complex phenomena can be monitored. In this dissertation we present our results in building several AmI applications suitable for a WSN implementation. The work can be divided into two main areas:Low Power Video Sensor Node and Video Processing Alghoritm and Multimodal Surveillance . Low Power Video Sensor Nodes and Video Processing Alghoritms In comparison to scalar sensors, such as temperature, pressure, humidity, velocity, and acceleration sensors, vision sensors generate much higher bandwidth data due to the two-dimensional nature of their pixel array. We have tackled all the constraints listed above and have proposed solutions to overcome the current WSNlimits for Video sensor node. We have designed and developed wireless video sensor nodes focusing on the small size and the flexibility of reuse in different applications. The video nodes target a different design point: the portability (on-board power supply, wireless communication), a scanty power budget (500mW),while still providing a prominent level of intelligence, namely sophisticated classification algorithmand high level of reconfigurability. We developed two different video sensor node: The device architecture of the first one is based on a low-cost low-power FPGA+microcontroller system-on-chip. The second one is based on ARM9 processor. Both systems designed within the above mentioned power envelope could operate in a continuous fashion with Li-Polymer battery pack and solar panel. Novel low power low cost video sensor nodes which, in contrast to sensors that just watch the world, are capable of comprehending the perceived information in order to interpret it locally, are presented. Featuring such intelligence, these nodes would be able to cope with such tasks as recognition of unattended bags in airports, persons carrying potentially dangerous objects, etc.,which normally require a human operator. Vision algorithms for object detection, acquisition like human detection with Support Vector Machine (SVM) classification and abandoned/removed object detection are implemented, described and illustrated on real world data. Multimodal surveillance: In several setup the use of wired video cameras may not be possible. For this reason building an energy efficient wireless vision network for monitoring and surveillance is one of the major efforts in the sensor network community. Energy efficiency for wireless smart camera networks is one of the major efforts in distributed monitoring and surveillance community. For this reason, building an energy efficient wireless vision network for monitoring and surveillance is one of the major efforts in the sensor network community. The Pyroelectric Infra-Red (PIR) sensors have been used to extend the lifetime of a solar-powered video sensor node by providing an energy level dependent trigger to the video camera and the wireless module. Such approach has shown to be able to extend node lifetime and possibly result in continuous operation of the node.Being low-cost, passive (thus low-power) and presenting a limited form factor, PIR sensors are well suited for WSN applications. Moreover techniques to have aggressive power management policies are essential for achieving long-termoperating on standalone distributed cameras needed to improve the power consumption. We have used an adaptive controller like Model Predictive Control (MPC) to help the system to improve the performances outperforming naive power management policies.

Responsabilita' sociale d'impresa e abitudini alimentari: contributo di Coop nella creazione di valore per i cittadini, per il territorio e i prodotti tipici di qualità

I cambiamenti e le innovazioni sociali, che hanno caratterizzato il secolo scorso, hanno generato mutamenti significativi nella struttura dei consumi, legati in particolare a una maggiore consapevolezza dei consumatori e allo scoppio della crisi economica. Assume sempre maggiore importanza, all’interno delle politiche di brand management, il ruolo della Responsabilità Sociale d’Impresa, che spinge la Grande Distribuzione Organizzata a proporre prodotti con più alti standard qualitativi e di sicurezza. Il caso analizzato è quello della linea biologica ViviVerde Coop, la cui offerta di prodotti biologici a private label ha avuto un impatto molto positivo sul mercato. L’analisi dell’elasticità della curva di domanda di alcuni di questi prodotti nel periodo gennaio 2010-maggio 2012 rivela diversi valori positivi e maggiori di 1, indice del fatto che il prezzo non abbia avuto effetti negativi sulle vendite dei prodotti considerati. Tale evidenza risulta rilevante proprio in un periodo di profonda crisi economica che ha interessato, in modo significativo, anche i consumi alimentari.

Discontinuity in the responses of ecosystem processes and multifunctionality to altered soil community composition

Ecosystem management policies increasingly emphasize provision of multiple, as opposed to single, ecosystem services. Management for such "multifunctionality" has stimulated research into the role that biodiversity plays in providing desired rates of multiple ecosystem processes. Positive effects of biodiversity on indices of multifunctionality are consistently found, primarily because species that are redundant for one ecosystem process under a given set of environmental conditions play a distinct role under different conditions or in the provision of another ecosystem process. Here we show that the positive effects of diversity (specifically community composition) on multifunctionality indices can also arise from a statistical fallacy analogous to Simpson's paradox (where aggregating data obscures causal relationships). We manipulated soil faunal community composition in combination with nitrogen fertilization of model grassland ecosystems and repeatedly measured five ecosystem processes related to plant productivity, carbon storage, and nutrient turnover. We calculated three common multifunctionality indices based on these processes and found that the functional complexity of the soil communities had a consistent positive effect on the indices. However, only two of the five ecosystem processes also responded positively to increasing complexity, whereas the other three responded neutrally or negatively. Furthermore, none of the individual processes responded to both the complexity and the nitrogen manipulations in a manner consistent with the indices. Our data show that multifunctionality indices can obscure relationships that exist between communities and key ecosystem processes, leading us to question their use in advancing theoretical understanding-and in management decisions-about how biodiversity is related to the provision of multiple ecosystem services.

Coupled human and natural system dynamics as key to the sustainability of Lake Victoria's ecosystem services

East Africa’s Lake Victoria provides resources and services to millions of people on the lake’s shores and abroad. In particular, the lake’s fisheries are an important source of protein, employment, and international economic connections for the whole region. Nonetheless, stock dynamics are poorly understood and currently unpredictable. Furthermore, fishery dynamics are intricately connected to other supporting services of the lake as well as to lakeshore societies and economies. Much research has been carried out piecemeal on different aspects of Lake Victoria’s system; e.g., societies, biodiversity, fisheries, and eutrophication. However, to disentangle drivers and dynamics of change in this complex system, we need to put these pieces together and analyze the system as a whole. We did so by first building a qualitative model of the lake’s social-ecological system. We then investigated the model system through a qualitative loop analysis, and finally examined effects of changes on the system state and structure. The model and its contextual analysis allowed us to investigate system-wide chain reactions resulting from disturbances. Importantly, we built a tool that can be used to analyze the cascading effects of management options and establish the requirements for their success. We found that high connectedness of the system at the exploitation level, through fisheries having multiple target stocks, can increase the stocks’ vulnerability to exploitation but reduce society’s vulnerability to variability in individual stocks. We describe how there are multiple pathways to any change in the system, which makes it difficult to identify the root cause of changes but also broadens the management toolkit. Also, we illustrate how nutrient enrichment is not a self-regulating process, and that explicit management is necessary to halt or reverse eutrophication. This model is simple and usable to assess system-wide effects of management policies, and can serve as a paving stone for future quantitative analyses of system dynamics at local scales.

Desarrollo territorial y ajuste espacial : La difícil relación entre políticas públicas y planificación 'privada' en el norte de Santa Cruz

La Patagonia austral es un espacio periférico y de poblamiento reciente, con escasa densidad de población, en el cual las actividades económicas, la oferta de servicios y las condiciones para la reproducción de la población se asientan en la valorización de recursos naturales distribuidos desigualmente. estos recursos se encuentran, en la actualidad, crecientemente afectados por la debilidad de las políticas de manejo. en el caso de la minería, se trata de un sector en expansión y, si bien los yacimientos en explotación tienen reservas que no superan los diez años, hay nuevas exploraciones y se prevé la ampliación de la actividad. La línea orientadora que se sigue en el presente artículo es producto de la evolución de actividades de investigación sobre las temáticas de las relaciones entre poderes y territorios, en particular en el campo del ordenamiento y el desarrollo territorial. en primer lugar, se presenta una aproximación al enfoque del desarrollo territorial y de proyecto de territorio en sus relaciones con las políticas públicas y en el marco del actual escenario mundial de disputa por los recursos naturales. en segundo lugar, se describen las estrategias de los grupos dominantes, centrándose en particular en la participación de Pan american energy, y se analiza, asimismo, el papel del estado y de las sociedades regionales en el área de estudio, así como las relaciones que se establecen entre los mismos, trabajando desde distintas escalas. a manera de conclusión, se exponen escenarios posibles de desarrollo territorial resultantes de las alternativas de resolución de las relaciones conflictivas entre los citados actores en el espacio del Golfo San Jorge y el norte de la Provincia de Santa Cruz en particular.

Desarrollo territorial y ajuste espacial : La difícil relación entre políticas públicas y planificación 'privada' en el norte de Santa Cruz

La Patagonia austral es un espacio periférico y de poblamiento reciente, con escasa densidad de población, en el cual las actividades económicas, la oferta de servicios y las condiciones para la reproducción de la población se asientan en la valorización de recursos naturales distribuidos desigualmente. estos recursos se encuentran, en la actualidad, crecientemente afectados por la debilidad de las políticas de manejo. en el caso de la minería, se trata de un sector en expansión y, si bien los yacimientos en explotación tienen reservas que no superan los diez años, hay nuevas exploraciones y se prevé la ampliación de la actividad. La línea orientadora que se sigue en el presente artículo es producto de la evolución de actividades de investigación sobre las temáticas de las relaciones entre poderes y territorios, en particular en el campo del ordenamiento y el desarrollo territorial. en primer lugar, se presenta una aproximación al enfoque del desarrollo territorial y de proyecto de territorio en sus relaciones con las políticas públicas y en el marco del actual escenario mundial de disputa por los recursos naturales. en segundo lugar, se describen las estrategias de los grupos dominantes, centrándose en particular en la participación de Pan american energy, y se analiza, asimismo, el papel del estado y de las sociedades regionales en el área de estudio, así como las relaciones que se establecen entre los mismos, trabajando desde distintas escalas. a manera de conclusión, se exponen escenarios posibles de desarrollo territorial resultantes de las alternativas de resolución de las relaciones conflictivas entre los citados actores en el espacio del Golfo San Jorge y el norte de la Provincia de Santa Cruz en particular.

Desarrollo territorial y ajuste espacial : La difícil relación entre políticas públicas y planificación 'privada' en el norte de Santa Cruz

La Patagonia austral es un espacio periférico y de poblamiento reciente, con escasa densidad de población, en el cual las actividades económicas, la oferta de servicios y las condiciones para la reproducción de la población se asientan en la valorización de recursos naturales distribuidos desigualmente. estos recursos se encuentran, en la actualidad, crecientemente afectados por la debilidad de las políticas de manejo. en el caso de la minería, se trata de un sector en expansión y, si bien los yacimientos en explotación tienen reservas que no superan los diez años, hay nuevas exploraciones y se prevé la ampliación de la actividad. La línea orientadora que se sigue en el presente artículo es producto de la evolución de actividades de investigación sobre las temáticas de las relaciones entre poderes y territorios, en particular en el campo del ordenamiento y el desarrollo territorial. en primer lugar, se presenta una aproximación al enfoque del desarrollo territorial y de proyecto de territorio en sus relaciones con las políticas públicas y en el marco del actual escenario mundial de disputa por los recursos naturales. en segundo lugar, se describen las estrategias de los grupos dominantes, centrándose en particular en la participación de Pan american energy, y se analiza, asimismo, el papel del estado y de las sociedades regionales en el área de estudio, así como las relaciones que se establecen entre los mismos, trabajando desde distintas escalas. a manera de conclusión, se exponen escenarios posibles de desarrollo territorial resultantes de las alternativas de resolución de las relaciones conflictivas entre los citados actores en el espacio del Golfo San Jorge y el norte de la Provincia de Santa Cruz en particular.

GreenDisc: a HW/SW energy optimization framework in globally distributed computation

In recent future, wireless sensor networks (WSNs) will experience a broad high-scale deployment (millions of nodes in the national area) with multiple information sources per node, and with very specific requirements for signal processing. In parallel, the broad range deployment of WSNs facilitates the definition and execution of ambitious studies, with a large input data set and high computational complexity. These computation resources, very often heterogeneous and driven on-demand, can only be satisfied by high-performance Data Centers (DCs). The high economical and environmental impact of the energy consumption in DCs requires aggressive energy optimization policies. These policies have been already detected but not successfully proposed. In this context, this paper shows the following on-going research lines and obtained results. In the field of WSNs: energy optimization in the processing nodes from different abstraction levels, including reconfigurable application specific architectures, efficient customization of the memory hierarchy, energy-aware management of the wireless interface, and design automation for signal processing applications. In the field of DCs: energy-optimal workload assignment policies in heterogeneous DCs, resource management policies with energy consciousness, and efficient cooling mechanisms that will cooperate in the minimization of the electricity bill of the DCs that process the data provided by the WSNs.

GreenDisc: a HW/SW energy optimization framework in globally distributed computation

In recent future, wireless sensor networks ({WSNs}) will experience a broad high-scale deployment (millions of nodes in the national area) with multiple information sources per node, and with very specific requirements for signal processing. In parallel, the broad range deployment of {WSNs} facilitates the definition and execution of ambitious studies, with a large input data set and high computational complexity. These computation resources, very often heterogeneous and driven on-demand, can only be satisfied by high-performance Data Centers ({DCs}). The high economical and environmental impact of the energy consumption in {DCs} requires aggressive energy optimization policies. These policies have been already detected but not successfully proposed. In this context, this paper shows the following on-going research lines and obtained results. In the field of {WSNs}: energy optimization in the processing nodes from different abstraction levels, including reconfigurable application specific architectures, efficient customization of the memory hierarchy, energy-aware management of the wireless interface, and design automation for signal processing applications. In the field of {DCs}: energy-optimal workload assignment policies in heterogeneous {DCs}, resource management policies with energy consciousness, and efficient cooling mechanisms that will cooperate in the minimization of the electricity bill of the DCs that process the data provided by the WSNs.

Clasificación de tráfico de Internet mediante análisis de datos

Poder clasificar de manera precisa la aplicación o programa del que provienen los flujos que conforman el tráfico de uso de Internet dentro de una red permite tanto a empresas como a organismos una útil herramienta de gestión de los recursos de sus redes, así como la posibilidad de establecer políticas de prohibición o priorización de tráfico específico. La proliferación de nuevas aplicaciones y de nuevas técnicas han dificultado el uso de valores conocidos (well-known) en puertos de aplicaciones proporcionados por la IANA (Internet Assigned Numbers Authority) para la detección de dichas aplicaciones. Las redes P2P (Peer to Peer), el uso de puertos no conocidos o aleatorios, y el enmascaramiento de tráfico de muchas aplicaciones en tráfico HTTP y HTTPS con el fin de atravesar firewalls y NATs (Network Address Translation), entre otros, crea la necesidad de nuevos métodos de detección de tráfico. El objetivo de este estudio es desarrollar una serie de prácticas que permitan realizar dicha tarea a través de técnicas que están más allá de la observación de puertos y otros valores conocidos. Existen una serie de metodologías como Deep Packet Inspection (DPI) que se basa en la búsqueda de firmas, signatures, en base a patrones creados por el contenido de los paquetes, incluido el payload, que caracterizan cada aplicación. Otras basadas en el aprendizaje automático de parámetros de los flujos, Machine Learning, que permite determinar mediante análisis estadísticos a qué aplicación pueden pertenecer dichos flujos y, por último, técnicas de carácter más heurístico basadas en la intuición o el conocimiento propio sobre tráfico de red. En concreto, se propone el uso de alguna de las técnicas anteriormente comentadas en conjunto con técnicas de minería de datos como son el Análisis de Componentes Principales (PCA por sus siglas en inglés) y Clustering de estadísticos extraídos de los flujos procedentes de ficheros de tráfico de red. Esto implicará la configuración de diversos parámetros que precisarán de un proceso iterativo de prueba y error que permita dar con una clasificación del tráfico fiable. El resultado ideal sería aquel en el que se pudiera identificar cada aplicación presente en el tráfico en un clúster distinto, o en clusters que agrupen grupos de aplicaciones de similar naturaleza. Para ello, se crearán capturas de tráfico dentro de un entorno controlado e identificando cada tráfico con su aplicación correspondiente, a continuación se extraerán los flujos de dichas capturas. Tras esto, parámetros determinados de los paquetes pertenecientes a dichos flujos serán obtenidos, como por ejemplo la fecha y hora de llagada o la longitud en octetos del paquete IP. Estos parámetros serán cargados en una base de datos MySQL y serán usados para obtener estadísticos que ayuden, en un siguiente paso, a realizar una clasificación de los flujos mediante minería de datos. Concretamente, se usarán las técnicas de PCA y clustering haciendo uso del software RapidMiner. Por último, los resultados obtenidos serán plasmados en una matriz de confusión que nos permitirá que sean valorados correctamente. ABSTRACT. Being able to classify the applications that generate the traffic flows in an Internet network allows companies and organisms to implement efficient resource management policies such as prohibition of specific applications or prioritization of certain application traffic, looking for an optimization of the available bandwidth. The proliferation of new applications and new technics in the last years has made it more difficult to use well-known values assigned by the IANA (Internet Assigned Numbers Authority), like UDP and TCP ports, to identify the traffic. Also, P2P networks and data encapsulation over HTTP and HTTPS traffic has increased the necessity to improve these traffic analysis technics. The aim of this project is to develop a number of techniques that make us able to classify the traffic with more than the simple observation of the well-known ports. There are some proposals that have been created to cover this necessity; Deep Packet Inspection (DPI) tries to find signatures in the packets reading the information contained in them, the payload, looking for patterns that can be used to characterize the applications to which that traffic belongs; Machine Learning procedures work with statistical analysis of the flows, trying to generate an automatic process that learns from those statistical parameters and calculate the likelihood of a flow pertaining to a certain application; Heuristic Techniques, finally, are based in the intuition or the knowledge of the researcher himself about the traffic being analyzed that can help him to characterize the traffic. Specifically, the use of some of the techniques previously mentioned in combination with data mining technics such as Principal Component Analysis (PCA) and Clustering (grouping) of the flows extracted from network traffic captures are proposed. An iterative process based in success and failure will be needed to configure these data mining techniques looking for a reliable traffic classification. The perfect result would be the one in which the traffic flows of each application is grouped correctly in each cluster or in clusters that contain group of applications of similar nature. To do this, network traffic captures will be created in a controlled environment in which every capture is classified and known to pertain to a specific application. Then, for each capture, all the flows will be extracted. These flows will be used to extract from them information such as date and arrival time or the IP length of the packets inside them. This information will be then loaded to a MySQL database where all the packets defining a flow will be classified and also, each flow will be assigned to its specific application. All the information obtained from the packets will be used to generate statistical parameters in order to describe each flow in the best possible way. After that, data mining techniques previously mentioned (PCA and Clustering) will be used on these parameters making use of the software RapidMiner. Finally, the results obtained from the data mining will be compared with the real classification of the flows that can be obtained from the database. A Confusion Matrix will be used for the comparison, letting us measure the veracity of the developed classification process.