From Neglect to Nexus: Examining the Place of Educational History in Teacher Education
Bibliographic record
Abstract
In faculties of education across North America, the so-called foundations of education are in crisis. Pressure to shorten teacher education programs and to focus on developing the instrumental skills of new teachers has resulted in courses in philosophy, history, sociology, anthropology, and psychology being moved from the core of teacher education to the periphery. This paper describes the decline of history in teacher education using the Faculty of Education at Queen’s University as a case study. We contend this decline occurred more by systematic neglect of history’s value in professional education than by overt attack on its position as one of “the foundations” of the field. We go on to argue that history, properly taught, has the potential to provide a powerful nexus to teacher education programs helping new teachers locate themselves and individualize their personal beliefs in relation to the vast body of professional knowledge that is circulated and recycled about policy and practice.
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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 | 0.007 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.018 | 0.058 |
| Scholarly communication | 0.015 | 0.026 |
| Open science | 0.002 | 0.018 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".