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Record W3004623473 · doi:10.7202/1066815ar

Devenir « noir » sur les routes migratoires

2020· article· fr· W3004623473 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueSociologie et sociétés · 2020
Typearticle
Languagefr
FieldSocial Sciences
TopicMigration, Identity, and Health
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesEthnologyPolitical scienceArtGeographySociology

Abstract

fetched live from OpenAlex

Les « Subsahariens » qui ont franchi les frontières géographiques pour arriver au Maroc avant d’entreprendre un passage vers l’Europe découvrent qu’ils sont porteurs d’une frontière tout aussi difficile à franchir. Ces personnes deviennent « noires » sur les routes migratoires et font l’expérience du racisme. Elles essaient, tant bien que mal, de s’adapter à ce qui est un obstacle supplémentaire, et non des moindres, sur leur parcours : elles se découvrent les représentantes d’une altérité radicale inscrite dans leur corps. Leur expérience nous montre que le racisme est multiforme. Il convoque les idéologies esclavagistes, coloniales, suprémacistes et les articule avec une image contemporaine de l’Africain noir débarquant sur les plages espagnoles, italiennes, grecques, en provenance des côtes libyennes, marocaines, ou tunisiennes. À l’intersection de la figure coloniale et esclavagiste du Noir et des migrants africains actuels, les « Subsahariens » subissent une double altérisation : raciale et sociale.

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.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.517
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.430
GPT teacher head0.494
Teacher spread0.063 · 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