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Record W1451329690

From French as a “Right” to French as “Added Value”: From Politics to Economics in Canada

2011· article· en· W1451329690 on OpenAlexaboutno aff
Monica Heller

Bibliographic record

VenueLangage et societe · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsFrenchCitizenshipCommodificationPolitical sciencePoliticsEthnographyValue (mathematics)SociologyGender studiesPolitical economyEconomyLawAnthropologyHumanitiesEconomics
DOInot available

Abstract

fetched live from OpenAlex

Discourse about language has changed a great deal in Canada. For much of Canadian history, language was thought of as one dimension among others serving to make distinctions among cultural or “racial” groups, distinctions which were harnessed to social stratification in the colonial economy. It became the central terrain of struggle against economic marginalization of francophones in the middle of the twentieth century. Quebecois nationalist claims made French-English bilingualism a central value associated with the rights and obligations of Canadian citizenship starting in the 1960s. In this period, French is understood as a collective right. This discourse still exists, especially within the agencies of the Quebec state, but starting from around 1990, it is replaced in the discourse of the federal government, as well as in the institutions of francophones in the other provinces, as well as among some Quebecois, by a discourse emphasizing the importance of the francophone market,, the value of French and of authentic francophone cultural identity understood as commodities in the globalized new economy, and the collective economic development of francophone communities. In this article I will describe this discursive change, drawing on ethnographic work in the central institutional spaces of production of discourse about what “francophone” and “French” mean in Canada. I raise questions, finally, about what these changes mean for the ways the category “francophone” may remain a principle of the organization of labour in Canada.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.366
Threshold uncertainty score0.735

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.006
Science and technology studies0.0350.026
Scholarly communication0.0200.003
Open science0.0020.003
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0080.000

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 head0.237
Teacher spread0.217 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2011
Admission routes1
Has abstractyes

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