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Record W4361765517 · doi:10.7202/1097752ar

Déconstruire la nationalité

2023· article· fr· W4361765517 on OpenAlexvenueno aff
Claire Cosquer

Bibliographic record

VenueSociologie et sociétés · 2023
Typearticle
Languagefr
FieldSocial Sciences
TopicMulticulturalism, Politics, Migration, Gender
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceSociologyArt

Abstract

fetched live from OpenAlex

Cet article déconstruit les catégories nationales pour rendre compte de leur imbrication dans les rapports sociaux de classe et de race, dans le contexte des migrations à Abu Dhabi, capitale des Émirats arabes unis. Il analyse la racialisation des groupes nationaux et des positions de classe dans la hiérarchie migratoire, en appréhendant celle-ci à la fois comme un cadre géopolitique informant les discours et pratiques de distinction et comme système local de division du travail. L’article explore d’abord les significations raciales qui sous-tendent les inégalités entre nations, traduites globalement dans les hiérarchies et les routes migratoires, répercutées localement dans la société abudhabienne. Il montre ensuite comment ces hiérarchies migratoires se traduisent dans une division du travail entre groupes nationaux et analyse alors les significations raciales attachées aux positions de classe et au management des nationalités dans les mondes professionnels. La naturalisation de la relation de classe entre dirigeant·e et exécutant·e associe la compétence et l’autorité professionnelle à la blanchité, légitimant les avantages structurels de celle-ci dans les mondes professionnels, alors que les nationalités subalternes sont assignées à des positions exécutantes et associées à des « qualités » professionnelles dépréciatives.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.626
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.005
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.003

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 head0.668
GPT teacher head0.607
Teacher spread0.061 · 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 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

Citations3
Published2023
Admission routes1
Has abstractyes

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