An analysis of historical agency in Québec history textbooks
Bibliographic record
Abstract
In the 1980s, in Québec history textbooks, authors presented history through linear, monocausal designs and attributed most social, political or economic changes favourable to democracy to unstable external causes or to stable external causes. They seldom attributed the evolution of democracy to ‘unstable internal causes’. These textbooks presented citizens as having almost no active role in socio-historical changes. This invited students to analyse past controversial social issues from a fatalistic perspective or through subjective moral criteria, while reinforcing the assumption that people from the past had bad ideas that good people have fortunately refuted since. Québec history programmes were reformed, in the 2000s, for middle and high schools. This article presents the results of a content analysis of the new history textbooks used in Québec, to see whether they still present such a deterministic and relativist perspective of social change. The preliminary results show that they do.
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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 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.017 | 0.029 |
| Science and technology studies | 0.008 | 0.006 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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".