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Record W2059210259 · doi:10.1353/ces.2010.0044

Les frontières linguistiques à Québec : le rôle des interactions scolaires

2010· article· en· W2059210259 on OpenAlexvenueaboutno aff
Marie‐Odile Magnan

Bibliographic record

VenueCanadian ethnic studies · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesEthnologyFrenchArtPolitical scienceSociology

Abstract

fetched live from OpenAlex

The Quebec English-speaking population has always formed a demographic minority. Comprising 25% of the population at the creation of Confederation, this proportion declined to 8.2% in 2006. However, the English-speaking group in Quebec only started to perceive itself as a minority in the 1970s, at which time the new term “Québécois” encouraged them to redefine themselves in relationship to the identity affirmation of this “new” Other. Research on Quebec Anglophones was first undertaken during this period of political and social turmoil. Still, until now there have been few studies on their minority status from the perspective of ethnic boundaries established by social agents in local interactive situations. In this article we shall examine linguistic boundaries negotiated in the context of Quebec City, based on the narrative of young adults who attended English high school there. Indeed, the qualitative interviews that we conducted in 2008–2009 with thirty-three young adults suggest a clear boundary between Francophones and Anglophones—a boundary which was reinforced by the very manner in which the Francophone Other regarded their English school counterparts in Quebec. We conclude that there may be several different ways of testing linguistic boundaries in Quebec.

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.

How this classification was reachedexpand

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.689
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.375
Teacher spread0.278 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2010
Admission routes2
Has abstractyes

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