Five Decades of Canadian and Québec Content in French Textbooks in the United States
Bibliographic record
Abstract
This study investigates the evolution of Canadian and Québec content in a sample of 65 first-year university French textbooks in the United States from the 1960s through 2010. Overall indicators of Canadian and Québec contexts and cultural notes were tabulated for each decade in addition to particular content such as Canadian history, Québec identity, and Canadian French language. The chronological analysis challenges the popular notion that teachers and textbooks authors are inherently uninterested in Canada. Instead, the analysis finds Canadian and Québec content increasing over the five-decade period reaching an all-time high point in the most recent decade. Results are explained by dynamic Québec-based factors of language politics and foreign relations initiatives rather than static US-based attitudes toward Canadian French. The analysis offers optimism for the role of Canadian and Québec Studies as a source of content for the teaching of French in the United States.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".