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Record W2593854431 · doi:10.1017/s0047404516000804

The discursive pathway of two centuries of raciolinguistic stereotyping: ‘Africans as incapable of speaking French’

2017· article· en· W2593854431 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

VenueLanguage in Society · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicLinguistic and Sociocultural Studies
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsEmblemIdeologyLinguisticsSociologyHistoryPhilosophyPolitical sciencePolitics

Abstract

fetched live from OpenAlex

Abstract This article is about the discursive pathway of grammatical structures such as y'a bon ‘there's good’, documenting how, in Hexagonal France, it has become an ‘enregistered emblem’ for indexing sub-Saharan Africans and, by extension, any African as allegedly incapable of speaking French competently. I argue that tracing pathways makes it possible to unveil the intricacy of the historicities of production, circulation, and interpretations of such racially based linguistic stereotypes. One of the central questions addressed in this article is: What are the sociohistorical conditions of the emergence and maintenance of these linguistic stereotypes? I show that these are grounded in long-standing linguistic ideologies of French as an exceptional language and of African languages and, therefore, their speakers, as primitive. I demonstrate how the rise of first age mass culture in the nineteenth century contributed to both the entextualization and the circulation of these stereotypical representations. (Stereotypes, mediatization, enregisterment, language ideology, France, Africa)*

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)0.003
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 score0.057
Threshold uncertainty score0.956

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
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 head0.021
GPT teacher head0.343
Teacher spread0.322 · 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