To Placate or Provoke? A Critical Review of the Disciplines Approach to History Curriculum
Bibliographic record
Abstract
Although there are many models that attempt to take Canadian history curriculum in more critical, thought-provoking directions, most notably the disciplinary cognitive citizenship’ approach spearheaded in Canada by Peter Seixas, these reforms are so typical of the transaction orientation that there is no room for what I think history can and should do: transform. Canadian history curriculum needs to take seriously the homogenizing ethic of today’s neoliberal politics by acknowledging the power and privilege imbedded within historical narratives. By structuring history education so that there is no place to think of the Canadian historical narrative outside a rational and depolitical framework, under the guise of a provocative curriculum, an approach like the disciplinary cognitive citizenship approach seeks to placate students in a neoliberal understanding of self rather than prepare them for the diversity of 21st century Canada.
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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 | 0.004 | 0.043 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".