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Record W4385734280 · doi:10.31355/94

Fear of a Black Language: A Radical Language Policy Perspective to the Afrobarometer

2023· article· en· W4385734280 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

VenueInternational Journal of Community Development and Management Studies · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsLinguisticsSociologyLanguage policyMultilingualismPsychologyGender studies

Abstract

fetched live from OpenAlex

Aim/Purpose: This paper complicates Black English-speaking Quebecers by mapping them to the poli-tics of multilingualism, through attempting to join Black and African thinkers on the dialectics of linguistic (in)securities. In particular, it joins “Francophone” and “Anglo-phone” Caribbean intellectuals: Édouard Glissant and Edward Kamau Brathwaite, in dialogue with Ngũgĩ wa Thiong’o, a pan-African intellectual. Background: Official language policies, ideologies, and practices within Canada and Quebec contribute to the marginalization of the Black population, in particular Black English-speakers in Quebec, as a double minority. Language is an important intersectional factor effecting the wellbeing of Black English-speaking Quebecers as it plays a significant role in their “experiences” of racial discrimination. Methodology: To challenge various forms of hegemonies and obscuration of violence that positivist logics engender through quantitative means; this paper aligns with emerging approaches critical quantitative approaches. Binary logistic regression model based on linguistic variables (home language practice) and non-linguistic variables (country, age, agency, trust) is employed to predict absence or presence of linguistic security using SPSS. Findings: The results of the logistic analysis indicate that the five-predictor model provided a sta-tistically significant prediction of linguistic security, χ2(5, n = 3891) = 114.759, p < 0.001. This is points to how individual language policy operates in a “complex ecological rela-tionship among a wide range of linguistic and non-linguistic elements, variables, and fac-tors.” A critical implication of this is for language to be taken seriously, in newer rounds of the Afrobarometer, as it was in former years. This would entail challenging the nation-state framework of the Afrobarometer. Impact on Society: Language policies historically, and in present times, are tools of linguistic hegemony, colonial violence, and repression. Thinking about how language policy operates beyond nation-state borders with Caribbean and Pan- Africanist thinkers, in relation multilingual being, carves new possibilities for linguistic securities.

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)0.001
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 score0.170
Threshold uncertainty score0.221

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.097
GPT teacher head0.498
Teacher spread0.401 · 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