Bibliographic record
Abstract
Pb (9780199947218) £32.99,Hb (9780199947195) £82.During the last 20 years or so, the relationship between individual or collective identities and language has become a legitimate field of investigation in the social sciences.In this context, many types of research have given an insight into how identitiesconsidered social constructions intertwined with ethnic-, class-, gender-, religious-, . . .-oriented considerations and symbolically mediated through language regulate the social order according to political, economic, and symbolic issues (De Fina 2013).French Canadian studies on this topic have been particularly productive, and most sociolinguists today know that the Canadian social and linguistic constellation is far more complicated than the Anglo-French duality often represented by the situation in the province of Qu ebec.Three monographs published in 2016 promote a good understanding of what it means for individuals and collectivities in the Canadian social and economic contexts to have a linguistic identity assigned.In her book A l'ombre de la langue l egitime -L'Acadie dans la francophonie, Annette Boudreau questions such an assignment of a linguistic identity: What is a legitimate language?Who is a legitimate French speaker?And how is that speaker constructed?Monica Heller, Lindsay A. Bell, Michelle Daveluy, Mireille McLaughlin and Hubert No€ el, the authors of the collective monograph Sustaining the Nation, focus on language as a production aimed at sustaining the idea of a political, economic, and symbolic Canadian nation.They claim that the identity 'French Canadian' assigned to working-class Canadians generates the idea of a francophone ethnoclass that allows creating 'social differences on cultural (including linguistic) grounds, which then help justify relations of power' (Heller et al. 2016: 25).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.024 | 0.010 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".