Adult education policy in the European Union during the Lisbon decade : the shift to vocational adult learning and work skills matching

This doctoral dissertation investigates the adult education policy of the European Union (EU) in the framework of the Lisbon agenda 2000–2010, with a particular focus on the changes of policy orientation that occurred during this reference decade. The year 2006 can be considered, in fact, a turning point for the EU policy-making in the adult learning sector: a radical shift from a wide--ranging and comprehensive conception of educating adults towards a vocationally oriented understanding of this field and policy area has been observed, in particular in the second half of the so--called ‘Lisbon decade’. In this light, one of the principal objectives of the mainstream policy set by the Lisbon Strategy, that of fostering all forms of participation of adults in lifelong learning paths, appears to have muted its political background and vision in a very short period of time, reflecting an underlying polarisation and progressive transformation of European policy orientations. Hence, by means of content analysis and process tracing, it is shown that the new target of the EU adult education policy, in this framework, has shifted from citizens to workers, and the competence development model, borrowed from the corporate sector, has been established as the reference for the new policy road maps. This study draws on the theory of governance architectures and applies a post-ontological perspective to discuss whether the above trends are intrinsically due to the nature of the Lisbon Strategy, which encompasses education policies, and to what extent supranational actors and phenomena such as globalisation influence the European governance and decision--making. Moreover, it is shown that the way in which the EU is shaping the upgrading of skills and competences of adult learners is modeled around the needs of the ‘knowledge economy’, thus according a great deal of importance to the ‘new skills for new jobs’ and perhaps not enough to life skills in its broader sense which include, for example, social and civic competences: these are actually often promoted but rarely implemented in depth in the EU policy documents. In this framework, it is conveyed how different EU policy areas are intertwined and interrelated with global phenomena, and it is emphasised how far the building of the EU education systems should play a crucial role in the formation of critical thinking, civic competences and skills for a sustainable democratic citizenship, from which a truly cohesive and inclusive society fundamentally depend, and a model of environmental and cosmopolitan adult education is proposed in order to address the challenges of the new millennium. In conclusion, an appraisal of the EU’s public policy, along with some personal thoughts on how progress might be pursued and actualised, is outlined.

Puunjalostuskonsernin tehtaiden käyttäjäkunnossapidon nykytilanteen selvitys- ja kehitystyö

Tässä diplomityössä selvitettiin kohdeorganisaation tehtaiden käyttäjäkunnossapidon nykytilannetta ja kehityskohteita konelinjoittain. Käyttäjäkunnossapito otettiin käyttöön vain vähän aikaa sitten entisen vuorohuollon tilalle. Tutkimus toteutettiin haastattelututkimuksena ja tietoa kerättiin kyselylomakkeiden avulla. Kyselyn otanta oli 200 henkilöä, joista 89,5 % vastasi kyselyyn. Haastateltavia oli seitsemästä eri henkilöryhmästä. Haastateltavat henkilöryhmät olivat käyttäjäkunnossapidon kanssa päivittäin työskenteleviä ryhmiä. Tuloksia analysoitiin konelinjoittain, tehtastasolla ja henkilöryhmittäin. Analysoinnissa käytettiin apuna tehtaan järjestelmistä löytyviä tilastoja ja kyselyn teettämisen jälkeisiä keskusteluja. Suurin haaste käyttäjäkunnossapidon nykytilanteessa oli kunnossapito-osaamisen säilyttäminen, sillä käyttäjäkunnossapitäjien työ on suurimmaksi osaksi tuotantotyötä. Käyttäjäkunnossapitäjien osaamistasot vaihtelivat suuresti. Joidenkin konelinjojen käyttäjäkunnossapitäjillä osaamistasot eivät olleet vielä työn vaatimalla tasolla. Toimintamallin käytännön toteutuksessa oli parannettavaa useilla konelinjoilla. Käyttäjäkunnossapito ei ole pystynyt tekemään kunnossapitoa yhtä suuressa mittakaavassa kuin vuorohuolto. Jatkotoimenpiteinä ehdotettiin käyttäjäkunnossapitäjien kunnossapitotyön määrän lisäämistä tarkastuskierrosten ja ennakkohuoltojen muodossa, sekä linjakunnossapidon ja käyttäjäkunnossapidon yhteistyömallin kehittämistä.

Differential evolution based classification with pool of distances and aggregation operators

The objective of this thesis is to develop and generalize further the differential evolution based data classification method. For many years, evolutionary algorithms have been successfully applied to many classification tasks. Evolution algorithms are population based, stochastic search algorithms that mimic natural selection and genetics. Differential evolution is an evolutionary algorithm that has gained popularity because of its simplicity and good observed performance. In this thesis a differential evolution classifier with pool of distances is proposed, demonstrated and initially evaluated. The differential evolution classifier is a nearest prototype vector based classifier that applies a global optimization algorithm, differential evolution, to determine the optimal values for all free parameters of the classifier model during the training phase of the classifier. The differential evolution classifier applies the individually optimized distance measure for each new data set to be classified is generalized to cover a pool of distances. Instead of optimizing a single distance measure for the given data set, the selection of the optimal distance measure from a predefined pool of alternative measures is attempted systematically and automatically. Furthermore, instead of only selecting the optimal distance measure from a set of alternatives, an attempt is made to optimize the values of the possible control parameters related with the selected distance measure. Specifically, a pool of alternative distance measures is first created and then the differential evolution algorithm is applied to select the optimal distance measure that yields the highest classification accuracy with the current data. After determining the optimal distance measures for the given data set together with their optimal parameters, all determined distance measures are aggregated to form a single total distance measure. The total distance measure is applied to the final classification decisions. The actual classification process is still based on the nearest prototype vector principle; a sample belongs to the class represented by the nearest prototype vector when measured with the optimized total distance measure. During the training process the differential evolution algorithm determines the optimal class vectors, selects optimal distance metrics, and determines the optimal values for the free parameters of each selected distance measure. The results obtained with the above method confirm that the choice of distance measure is one of the most crucial factors for obtaining higher classification accuracy. The results also demonstrate that it is possible to build a classifier that is able to select the optimal distance measure for the given data set automatically and systematically. After finding optimal distance measures together with optimal parameters from the particular distance measure results are then aggregated to form a total distance, which will be used to form the deviation between the class vectors and samples and thus classify the samples. This thesis also discusses two types of aggregation operators, namely, ordered weighted averaging (OWA) based multi-distances and generalized ordered weighted averaging (GOWA). These aggregation operators were applied in this work to the aggregation of the normalized distance values. The results demonstrate that a proper combination of aggregation operator and weight generation scheme play an important role in obtaining good classification accuracy. The main outcomes of the work are the six new generalized versions of previous method called differential evolution classifier. All these DE classifier demonstrated good results in the classification tasks.

Attentional bias modulation by reappraisal in patients with generalized anxiety disorder: an event-related potential study

Affective states influence subsequent attention allocation. We evaluated emotional negativity bias modulation by reappraisal in patients with generalized anxiety disorder (GAD) relative to normal controls. Event-related potential (ERP) recordings were obtained, and changes in P200 and P300 amplitudes in response to negative or neutral words were noted after decreasing negative emotion or establishing a neutral condition. We found that in GAD patients only, the mean P200 amplitude after negative word presentation was much higher than after the presentation of neutral words. In normal controls, after downregulation of negative emotion, the mean P300 amplitude in response to negative words was much lower than after neutral words, and this was significant in both the left and right regions. In GAD patients, the negative bias remained prominent and was not affected by reappraisal at the early stage. Reappraisal was observed to have a lateralized effect at the late stage.

THE GENERALIZED MAXIMUM LIKELIHOOD METHOD APPLIED TO HIGH PRESSURE PHASE EQUILIBRIUM

The generalized maximum likelihood method was used to determine binary interaction parameters between carbon dioxide and components of orange essential oil. Vapor-liquid equilibrium was modeled with Peng-Robinson and Soave-Redlich-Kwong equations, using a methodology proposed in 1979 by Asselineau, Bogdanic and Vidal. Experimental vapor-liquid equilibrium data on binary mixtures formed with carbon dioxide and compounds usually found in orange essential oil were used to test the model. These systems were chosen to demonstrate that the maximum likelihood method produces binary interaction parameters for cubic equations of state capable of satisfactorily describing phase equilibrium, even for a binary such as ethanol/CO2. Results corroborate that the Peng-Robinson, as well as the Soave-Redlich-Kwong, equation can be used to describe phase equilibrium for the following systems: components of essential oil of orange/CO2.

The TTIP, ISDS and the shift towards transparency in investor-state arbitration

The negotiations between the EU and the US over the Transatlantic Trade and Investment Partnership (TTIP) have generated a lot of discussion about investor-state dispute settlement (ISDS). This discussion provided the inspiration for this thesis, with the TTIP in the background, setting the scene. In this thesis I study the nature of ISDS and the principle of transparency within investor-state arbitration. I aim to determine whether the use of ISDS is restricted to international arbitration and whether ISDS can be considered to constitute a system or regime. Furthermore, I consider whether the introduction of the UNCITRAL Rules on Transparency in Treaty-based Investor-State Arbitration (2014, the UNCITRAL Transparency Rules) changes investor-state arbitration in relation to transparency. To achieve this, I examine ISDS provisions in several different international investment agreements (IIAs) and evaluate the ways in which transparency is incorporated into investment law. Moreover, I compare the provisions on transparency and confidentiality in institutional arbitration rules with the UNCITRAL Transparency Rules. I have formed several conclusions, including that the ISDS provisions may contain methods other than international arbitration and that ISDS does not constitute a system. Furthermore, the UNCITRAL Transparency Rules do change – theoretically, at least – investor-state arbitration to become more transparent. Whether the UNCITRAL Transparency Rules will make investor-state arbitration fully transparent depends on the actions of the contracting state parties when negotiating new IIAs and whether they choose to incorporate the UNCITRAL Transparency Rules in the IIAs already concluded.

A Shift in Role: The Perspectives of Ontario Secondary Principals Working in Data-Driven Environments

This study occurred in 2009 and questioned how Ontario secondary school principals perceived their role had changed, over a 7 year period, in response to the increased demands of data-driven school environments. Specifically, it sought to identify principals' perceptions on how high-stakes testing and data-driven environments had affected their role, tasks, and accountability responsibilities. This study contextualized the emergence of the Education Quality and Accountability Offices (EQAO) as a central influence in the creation of data-driven school environments, and conceptualized the role of the principal as using data to inform and persuade a shift in thinking about the use of data to improve instruction and student achievement. The findings of the study suggest that data-driven environments had helped principals reclaim their positional power as instructional leaders, using data as an avenue back into the classroom. The use of data shifted the responsibilities of the principal to persuade teachers to work collaboratively to improve classroom instruction in order to demonstrate accountability.

Some Additional Specification Tests for Generalized Method of Moments Estimators with Macro-Economic Applications Part I : Theory

In This Paper Several Additional Gmm Specification Tests Are Studied. a First Test Is a Chow-Type Test for Structural Parameter Stability of Gmm Estimates. the Test Is Inspired by the Fact That \"Taste and Technology\" Parameters Are Uncovered. the Second Set of Specification Tests Are Var Encompassing Tests. It Is Assumed That the Dgp Has a Finite Var Representation. the Moment Restrictions Which Are Suggested by Economic Theory and Exploited in the Gmm Procedure Represent One Possible Characterization of the Dgp. the Var Is a Different But Compatible Characterization of the Same Dgp. the Idea of the Var Encompassing Tests Is to Compare Parameter Estimates of the Euler Conditions and Var Representations of the Dgp Obtained Separately with Parameter Estimates of the Euler Conditions and Var Representations Obtained Jointly. There Are Several Ways to Construct Joint Systems Which Are Discussed in the Paper. Several Applications Are Also Discussed.