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Record W2988711139 · doi:10.7202/1065123ar

Imaginaires géographiques de la francophonie minoritaire canadienne chez des immigrants et des réfugiés d’expression française1

2019· article· fr· W2988711139 on OpenAlex
Luisa Veronis, Suzanne Huot

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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueDiversité urbaine · 2019
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHumanitiesSociologyImmigrationPolitical scienceArt

Abstract

fetched live from OpenAlex

Le rôle des représentations sociales et spatiales dans les processus d’inclusion et d’exclusion constitue un terrain d’étude privilégié pour comprendre les relations de pouvoir entre groupes dominants et dominés. Le but de cet article est de poser un regard nouveau sur cette question en adoptant le concept d’imaginaires géographiques pour examiner les représentations que des immigrants et des réfugiés d’expression française se font des communautés francophones en situation minoritaire (CFSM) au Canada. Pour ce faire, nous présentons les résultats d’une étude de cas instrumentale sur les expériences d’immigrants francophones dans deux villes comportant des CFSM en Ontario : London et Ottawa. Notre analyse met en lumière les dynamiques sociospatiales de la francophonie minoritaire canadienne telles qu’elles sont perçues par les immigrants francophones et leur rôle dans la négociation de leur appartenance.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.483
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.006
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.006
GPT teacher head0.210
Teacher spread0.205 · 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