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Record W3094235770 · doi:10.1558/jld.18490

Racialised Voices of Maghrebi-French Women in Films

2020· article· en· W3094235770 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Language and Discrimination · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicLinguistic and Sociocultural Studies
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsCovertErasureIdeologyGender studiesPower (physics)SociologyEthnic groupPoliticsRace (biology)Critical discourse analysisLinguisticsPolitical scienceAnthropologyLaw

Abstract

fetched live from OpenAlex

Performances in the media (Bell and Gibson 2011; Bucholtz and Lopez 2011) are rich multimodal resources, which enable the analyst to look into the social practice of language ideologies and highlight discursive strategies that contribute to unequal power relations in society. This article examines the overt and covert racialisation of Maghrebi-French female voices in French films. After analysing the discursive patterns associated with migrant women of first and second generations (mothers and daughters), it brings to the forefront the processes by which their voices are marked, arguing that they perpetuate discriminatory discourses of gender and race. It finally considers the dynamics between the erasure/racialisation of ethnic voices in films and politics of recognition in society (Fraser 2001).

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.058
Threshold uncertainty score0.130

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.024
GPT teacher head0.317
Teacher spread0.293 · 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