La « nation » dans le programme québécois d’Histoire et éducation à la citoyenneté : une analyse lexicométrique
Bibliographic record
Abstract
This paper presents the results of a lexicometrical analysis of the content of the History and Citizenship Education program implemented in Quebec from 2006 until 2017, in order to shed light on the heated debates that went on during these years. Various actors strongly criticized this program for its avoidance of conflictual social and national events that have characterized the historical trajectory of Quebecois society. However,other actors underlined the visibility given to minority groups such as native people and English settlers who contributed to Quebec’s history. Some authors also pointed out the importance of history education in the formation of critical citizens. Our purpose is to identify the prominent components of this program through its structural features. Those components indicate some allusions to conflictual events of a political nature, but also an instrumental conception of the competence-based approach. The results allow us to put the criticisms of this educational program into perspective, and measure their validity in light of the lexical structure of the program.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.008 | 0.014 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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 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".