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Record W3005043503 · doi:10.7202/1066817ar

Taire la race pour produire une société incolore ?

2020· article· fr· W3005043503 on OpenAlexvenueno aff
Anne Lavanchy

Bibliographic record

VenueSociologie et sociétés · 2020
Typearticle
Languagefr
FieldSocial Sciences
TopicRace, History, and American Society
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArtSociology

Abstract

fetched live from OpenAlex

Cet article analyse les rapports sociaux de race à partir des pratiques administratives destinées à lutter contre les « abus » dans des contextes de « mixité ». Il montre que les pratiques administratives jouent un rôle décisif dans le contrôle des frontières symboliques de la nation, tout comme des modalités de sa reproduction, organisée autour de la blanchité. Partant de l’analogie entre les expressions émiques de mixité et de binationalité, l’auteure met en évidence qu’au-delà de la mutité de la race, les références à des lectures des corps — couleur de peau — comme à d’autres attributs identitaires — nationalité, genre et sexualité — jouent un rôle déterminant mais cependant tu pour traiter des demandes, en lien avec les notions émiques de mariage mixte, mariage de complaisance, mariage gris. Les couples s’écartant de la norme implicite d’homogamie raciale sont soumis à des dispositifs de discipline et de surveillance visant à les rappeler à l’ordre. Ces mécanismes renforcent l’ordre racial et disciplinent tant les personnes blanches que non blanches, avec des effets différents en fonction du genre et de la sexualité.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.850
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0020.009
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.246
GPT teacher head0.483
Teacher spread0.237 · 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

Citations10
Published2020
Admission routes1
Has abstractyes

Explore more

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