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Record W2563426347 · doi:10.7202/1037870ar

Grandir au camp. Diversité culturelle, convivialité et identité ethnique

2016· article· fr· W2563426347 on OpenAlexaffvenue
Catherine-Lune Grayson

Bibliographic record

VenueDiversité urbaine · 2016
Typearticle
Languagefr
FieldSocial Sciences
TopicDiaspora, migration, transnational identity
Canadian institutionsMcGill University
Fundersnot available
KeywordsHumanitiesSociologyEthnologyPolitical scienceArt

Abstract

fetched live from OpenAlex

Le camp de réfugiés de Kakuma, au Kenya, est remarquable en raison de sa diversité culturelle. Des réfugiés d’une douzaine de pays y cohabitent. Cet article s’intéresse à la nature de cette coexistence et à ses effets sur l’identité ethnique de jeunes Somaliens qui ont grandi au camp. Nous soutenons ici qu’une culture conviviale s’y est développée, mais que l’ethnicité structure toujours la vie sociale. Nous soulignons ensuite que l’expérience du camp influence les appartenances des jeunes, et nous relevons que le camp peut être considéré comme un espace de résistance. Ce faisant, nous montrons que des notions tirées de la littérature sur la cohabitation interethnique dans les villes ou sur l’identité ethnique des immigrants sont pertinentes pour comprendre l’expérience des réfugiés dans les camps.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.607
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.002

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 head0.026
GPT teacher head0.282
Teacher spread0.256 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations0
Published2016
Admission routes2
Has abstractyes

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