Critics of Human Rights from a Historical Perspective

Implementation of human rights is often criticized because it is perceived as being imposed on the rest of the world. In this case, human rights start to be seen as a sole abstraction, an empty word. What are the theoretical arguments of these critics and can we determine any historical grounds for them? In this paper, I will try to point at similar critics after the French Revolution – like that of the Historical School and Hegel – and try to show if some of these critics are still relevant. And I will compare these critics with contemporary arguments of cultural relativists. There are different streams and categorizations of human rights theories in today’s world. What differentiates them is basically the source of the human rights. After the French Revolution, the historical school had criticized the individuation and Hegel had criticized the formal freedom which was, according to him, a consequence of the Revolution. In this context Hegel drew a distinction between real freedom and formal freedom. Besides the theory of sources, the theories of implementation such as human rights as a model of learning, human rights as a result of an historical process are worth attention. The crucial point is about integrating human rights as an inner process and not to use them as a tool for intervention in other countries, which we observe in today’s world. And this is the exact point why I find the discussion of the sources more important. This discussion can help us to show how the inner evaluation of a society makes the realization of human rights possible and how we can avoid the above mentioned abstraction and misuse.

The development of the accounting professional in a postcolonial context: evidence from Sierra Leone

Despite increasing interest in the development of the accountancy profession and constitutive professional bodies in ex-colonies, little is known about the development of professional accountants as individuals. Similarly, although the continuing influence of the legacies of colonialism and imperialism on the accounting professionalisation trajectory in ex-colonies has been recognised, little attempt has been made to theorise such continuing colonial intervention as a postcolonial condition of accommodation and resistance, with implications for the development of professional accountants. This thesis fills this vacuum by employing four aspects of the critical lens of postcolonial theory – local-global nexus, psycho-existential complex, postcolonial hybridity and diaspora - to gain an insight into the development of accounting professionals in ex-colonies with specific reference to Sierra Leone. Specifically, it examines the current model of accounting professionalisation adopted in Sierra Leone and implications for the development of professional accountants in the country; investigates the historical and ideological legacies of colonialism that shaped and continue to influence the professionalisation trajectory in Sierra Leone; explores the perceptions of Sierra Leonean chartered and aspiring accountants of their professional identity in terms of their professional development within Sierra Leone; and explores the lived experiences of Sierra Leonean chartered and aspiring accountants in the diaspora and the diaspora effect on accountancy in Sierra Leone. The empirical evidence presented here emanated from two sources: a web-based survey and semi-structured interviews with Sierra Leonean chartered and aspiring accountants both within and outside the country at the time of the study. The model for developing professional accountants in Sierra Leone comprises a partnership between the local professional body, ICASL, and the British-based global body, the ACCA. A postcolonial analysis of the empirical evidence reveals that an unintended consequence of this model is that the local is co-opted within the global while the global becomes increasingly localised. The analysis also shows that the presence of a perceived global body ‘inferiorises’ the local body to the point of undesirability among local chartered and aspiring accountants. Thus the partnership has to date done little by way of developing ICASL’s capacity to ensure the development of a localised profession and professionals. Instead, it produces, within the Sierra Leone accountancy space, professional hybrids that at once pose as global as well as local accountants. This has significant implications for the local profession because many of the hybrid professional accountants who could potentially drive the local profession forward end up in the diaspora, which leaves the local profession in a weaker state. Also, given the established link between a robust accountancy profession and sustainable economic development, such professional diasporisation could negatively impact on the country’s economic development. In sum, Sierra Leone has failed to establish an accounting professionalisation model that develops professional accountants (through contextualised professional education and training) that meets the specific accounting needs of its growing economy.

The role of context in image annotation and recommendation

With the rise of smart phones, lifelogging devices (e.g. Google Glass) and popularity of image sharing websites (e.g. Flickr), users are capturing and sharing every aspect of their life online producing a wealth of visual content. Of these uploaded images, the majority are poorly annotated or exist in complete semantic isolation making the process of building retrieval systems difficult as one must firstly understand the meaning of an image in order to retrieve it. To alleviate this problem, many image sharing websites offer manual annotation tools which allow the user to “tag” their photos, however, these techniques are laborious and as a result have been poorly adopted; Sigurbjörnsson and van Zwol (2008) showed that 64% of images uploaded to Flickr are annotated with < 4 tags. Due to this, an entire body of research has focused on the automatic annotation of images (Hanbury, 2008; Smeulders et al., 2000; Zhang et al., 2012a) where one attempts to bridge the semantic gap between an image’s appearance and meaning e.g. the objects present. Despite two decades of research the semantic gap still largely exists and as a result automatic annotation models often offer unsatisfactory performance for industrial implementation. Further, these techniques can only annotate what they see, thus ignoring the “bigger picture” surrounding an image (e.g. its location, the event, the people present etc). Much work has therefore focused on building photo tag recommendation (PTR) methods which aid the user in the annotation process by suggesting tags related to those already present. These works have mainly focused on computing relationships between tags based on historical images e.g. that NY and timessquare co-exist in many images and are therefore highly correlated. However, tags are inherently noisy, sparse and ill-defined often resulting in poor PTR accuracy e.g. does NY refer to New York or New Year? This thesis proposes the exploitation of an image’s context which, unlike textual evidences, is always present, in order to alleviate this ambiguity in the tag recommendation process. Specifically we exploit the “what, who, where, when and how” of the image capture process in order to complement textual evidences in various photo tag recommendation and retrieval scenarios. In part II, we combine text, content-based (e.g. # of faces present) and contextual (e.g. day-of-the-week taken) signals for tag recommendation purposes, achieving up to a 75% improvement to precision@5 in comparison to a text-only TF-IDF baseline. We then consider external knowledge sources (i.e. Wikipedia & Twitter) as an alternative to (slower moving) Flickr in order to build recommendation models on, showing that similar accuracy could be achieved on these faster moving, yet entirely textual, datasets. In part II, we also highlight the merits of diversifying tag recommendation lists before discussing at length various problems with existing automatic image annotation and photo tag recommendation evaluation collections. In part III, we propose three new image retrieval scenarios, namely “visual event summarisation”, “image popularity prediction” and “lifelog summarisation”. In the first scenario, we attempt to produce a rank of relevant and diverse images for various news events by (i) removing irrelevant images such memes and visual duplicates (ii) before semantically clustering images based on the tweets in which they were originally posted. Using this approach, we were able to achieve over 50% precision for images in the top 5 ranks. In the second retrieval scenario, we show that by combining contextual and content-based features from images, we are able to predict if it will become “popular” (or not) with 74% accuracy, using an SVM classifier. Finally, in chapter 9 we employ blur detection and perceptual-hash clustering in order to remove noisy images from lifelogs, before combining visual and geo-temporal signals in order to capture a user’s “key moments” within their day. We believe that the results of this thesis show an important step towards building effective image retrieval models when there lacks sufficient textual content (i.e. a cold start).

Animal experimentation : historical overview and perspectives

No mundo, milhões de animais vertebrados são utilizados, por ano, em pesquisas científicas. Embora vários países possuam, há décadas, uma legislação para regulamentar a experimentação animal, no Brasil havia uma lacuna legal. Nesse contexto, traçou-se um panorama histórico e comparativo da situação normativa brasileira. A referência utilizada foi a Lei 11.794/08, primeira legislação a especificamente regulamentar a experimentação animal. A lei determinou a adoção de práticas de pesquisa que prezem pelo bem-estar animal, pela redução do sofrimento e do número de espécimes utilizados, alinhando-se ao conceito dos “3Rs”. Os efeitos da nova normatização só serão observados em alguns anos, quando todo o sistema regulatório for implantado e os dados estatísticos gerados estiverem disponíveis para análise. Ainda assim, percebe-se que a Lei 11.794/08 representa significativo avanço em face da incorporação de princípios norteadores que visam ao bem-estar animal e ao vácuo legislativo anteriormente existente. _______________________________________________________________________________ ABSTRACT

FLOOD RISK ASSESSMENT UNDER HISTORICAL AND PREDICTED LAND USE CHANGE USING CONTINUOUS HYDROLOGIC MODELING

Current procedures for flood risk estimation assume flood distributions are stationary over time, meaning annual maximum flood (AMF) series are not affected by climatic variation, land use/land cover (LULC) change, or management practices. Thus, changes in LULC and climate are generally not accounted for in policy and design related to flood risk/control, and historical flood events are deemed representative of future flood risk. These assumptions need to be re-evaluated, however, as climate change and anthropogenic activities have been observed to have large impacts on flood risk in many areas. In particular, understanding the effects of LULC change is essential to the study and understanding of global environmental change and the consequent hydrologic responses. The research presented herein provides possible causation for observed nonstationarity in AMF series with respect to changes in LULC, as well as a means to assess the degree to which future LULC change will impact flood risk. Four watersheds in the Midwest, Northeastern, and Central United States were studied to determine flood risk associated with historical and future projected LULC change. Historical single framed aerial images dating back to the mid-1950s were used along with Geographic Information Systems (GIS) and remote sensing models (SPRING and ERDAS) to create historical land use maps. The Forecasting Scenarios of Future Land Use Change (FORE-SCE) model was applied to generate future LULC maps annually from 2006 to 2100 for the conterminous U.S. based on the four IPCC-SRES future emission scenario conditions. These land use maps were input into previously calibrated Soil and Water Assessment Tool (SWAT) models for two case study watersheds. In order to isolate effects of LULC change, the only variable parameter was the Runoff Curve Number associated with the land use layer. All simulations were run with daily climate data from 1978-1999, consistent with the 'base' model which employed the 1992 NLCD to represent 'current' conditions. Output daily maximum flows were converted to instantaneous AMF series and were subsequently modeled using a Log-Pearson Type 3 (LP3) distribution to evaluate flood risk. Analysis of the progression of LULC change over the historic period and associated SWAT outputs revealed that AMF magnitudes tend to increase over time in response to increasing degrees of urbanization. This is consistent with positive trends in the AMF series identified in previous studies, although there are difficulties identifying correlations between LULC change and identified change points due to large time gaps in the generated historical LULC maps, mainly caused by unavailability of sufficient quality historic aerial imagery. Similarly, increases in the mean and median AMF magnitude were observed in response to future LULC change projections, with the tails of the distributions remaining reasonably constant. FORE-SCE scenario A2 was found to have the most dramatic impact on AMF series, consistent with more extreme projections of population growth, demands for growing energy sources, agricultural land, and urban expansion, while AMF outputs based on scenario B2 showed little changes for the future as the focus is on environmental conservation and regional solutions to environmental issues.

A COMPARISON OF PIXEL-BASED VERSUS OBJECT ORIENTED ANALYSIS OF LANDSLIDES USING HISTORICAL REMOTE SENSING DATA

With recent advances in remote sensing processing technology, it has become more feasible to begin analysis of the enormous historic archive of remotely sensed data. This historical data provides valuable information on a wide variety of topics which can influence the lives of millions of people if processed correctly and in a timely manner. One such field of benefit is that of landslide mapping and inventory. This data provides a historical reference to those who live near high risk areas so future disasters may be avoided. In order to properly map landslides remotely, an optimum method must first be determined. Historically, mapping has been attempted using pixel based methods such as unsupervised and supervised classification. These methods are limited by their ability to only characterize an image spectrally based on single pixel values. This creates a result prone to false positives and often without meaningful objects created. Recently, several reliable methods of Object Oriented Analysis (OOA) have been developed which utilize a full range of spectral, spatial, textural, and contextual parameters to delineate regions of interest. A comparison of these two methods on a historical dataset of the landslide affected city of San Juan La Laguna, Guatemala has proven the benefits of OOA methods over those of unsupervised classification. Overall accuracies of 96.5% and 94.3% and F-score of 84.3% and 77.9% were achieved for OOA and unsupervised classification methods respectively. The greater difference in F-score is a result of the low precision values of unsupervised classification caused by poor false positive removal, the greatest shortcoming of this method.

Islam and Arabs in Cuba: A Historical and Contemporary Overview

This flyer promotes the event "Islam and Arabs in Cuba: A Historical and Contemporary Overview", a lecture by Daniel F. Rivera, Research Fellow, Florida International University. Dr. Rivera holds a PhD in Arabic and Islamic Studies from Universidad Autonoma de Madrid, and has focused his research on Arab modern history and the presence of Islam in Latin America. The event was held on November 12, 2015 at FIU Modesto A. Maidique Campus CP 145.

Migration-related detention: A focus on the Italian context

Inspired by a community psychology ecological perspective, this chapter addresses migration-related detention as part of that set of practices implemented by the EU and the Schengen Area to ensure internal security by strengthening external borders control. In particular, it focuses on the Italian context. Starting from a historical overview of the Italian legal and policy framework on migration, a critical analysis of the rationale for migrant detention and deportation is developed, highlighting the business interests at stake. In this regard, the concept of immigration industrial complex is utilized, emphasizing its similarities with the military and prison industrial complexes. Finally, the case of an Italian migration-related detention center is illustrated. We argue for the use of ecological multilevel analysis to grasp the complexity of these sites of confinement, and shed light on the forces and interests that revolve around them. Alternatives are advocated based on freedom and justice for all.

Consolidation of national grammar: an analysis of the pronoun frame in the eighteenth-century in Minas Gerais context

This article intends to revisit the issue of national genesis of grammar, from the analysis of a corpus of five unpublished documents that was writing in the region of Diamantina (MG) in the second half of the eighteenth century. The data analyzed here according to the assumptions sociolinguistic endorse the hypothesis that destabilization of pronominal framework and the consequent weakening of the agreement of the Portuguese system were already established in this region in the late eighteenth century. From this result, we speculate about the socio-historical role of the Minas Gerais region in implementing linguistic changes determinants for the establishment of a national grammar.

The effect of gender context on children's social behaviour in a limited resources situation : an observational study

Knowing when to compete and when to cooperate to maximize opportunities for equal access to activities and materials in groups is critical to children's social and cognitive development. The present study examined the individual (gender, social competence) and contextual factors (gender context) that may determine why some children are more successful than others. One hundred and fifty-six children (M age=6.5 years) were divided into 39 groups of four and videotaped while engaged in a task that required them to cooperate in order to view cartoons. Children within all groups were unfamiliar to one another. Groups varied in gender composition (all girls, all boys, or mixed-sex) and social competence (high vs. low). Group composition by gender interaction effects were found. Girls were most successful at gaining viewing time in same-sex groups, and least successful in mixed-sex groups. Conversely, boys were least successful in same-sex groups and most successful in mixed-sex groups. Similar results were also found at the group level of analysis; however, the way in which the resources were distributed differed as a function of group type. Same-sex girl groups were inequitable but efficient whereas same-sex boy groups were more equitable than mixed groups but inefficient compared to same-sex girl groups. Social competence did not influence children's behavior. The findings from the present study highlight the effect of gender context on cooperation and competition and the relevance of adopting an unfamiliar peer paradigm when investigating children's social behavior.