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Record W2257282130 · doi:10.7202/1100198ar

CAPACITY AND INSTITUTION BUILDING IN THE CIS IN REFUGEE AND HUMAN RIGHTS PROTECTION WITH EMPHASIS ON CENTRAL ASIA AND KAZAKHSTAN

2023· article· en· W2257282130 on OpenAlexvenueno aff
Louise Druke

Bibliographic record

VenueRevue québécoise de droit international · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Geopolitics and Ethnography
Canadian institutionsnot available
Fundersnot available
KeywordsRefugeeEmphasis (telecommunications)Human rightsCentral asiaInstitutionPolitical scienceGeographyLawEngineeringPhysical geography

Abstract

fetched live from OpenAlex

This study examines the capacity and institution building process, which started in the early nineties following the transformation of the Soviet Union into the Commonwealth of Independent States (CIS). The emphasis of this study is placed on an examination of progress made specifically in the refugee area, on the basis of the CIS Program of Action (POA) of the Regional Conference, to address the problems of refugees, displaced persons, other forms of involuntary displacement and returnees in the countries of the CIS and relevant neighbouring States in May 1996 and of the Central Asia South West Asia and Middle East (CASWAME) Action Plan of the Countries of the Central Asian Region in solving problems of asylum-seekers and refugees adopted at the Sub Regional Meeting in Bishkek in February 1998. Chapter 1 reviews progress, results and impact of the 1996 CIS Conference Program of Action on refugees and displaced persons, and reflects on the Meeting of June 1999 of the CIS Steering Group in the Follow-up of the Regional Conference. Chapter 2 examines developments and challenges in Central Asia with special emphasis on Kazakhstan following the opening of UNHCR Offices in the mid-nineties and the 1998 CASWAME action plan specifically conceming Afghan refugees. Chapter 3 analyses new opportunities for co-operation especially with the European Union (EU) and the Organisation of Security and Co-operation in Europe (OSCE) as well as the United Nations (UN), whose institutional support for national refugee capacity and institution building has been and will continue to be crucial. Chapter 4 explores the new EU approach toward refugee and migration policy and the action plans developed by the 1999 EU High Level Working group on Asylum and Migration, including Afghan refugees, in consultation with UNHCR.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.782
Threshold uncertainty score0.983

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.022
GPT teacher head0.285
Teacher spread0.263 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2023
Admission routes1
Has abstractyes

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