Bibliographic record
Abstract
Due to the provincial nature of the enterprise, policy and scholarly discussion of education in Canada rarely takes place at a national level. Relatively recently, however, the Canadian Association for Teacher Education (CATE) has facilitated the publication of a number of polygraphs bringing together the work of scholars of teacher education from across Canada to provide a relatively rich portrait of initial teacher education (ITE) throughout the country. The current development of an edited book on the history of teacher education in Canada will fill out this picture. This paper draws on all of that work and an extensive review of international trends and policies in ITE to set Canadian teacher education in an international context. Specifically, it identifies a number of key themes in the international literature: the influence of cultural factors on ITE; variations in policy related to ITE; the range of providers of ITE; balance in ITE between academic, pedagogical and applied elements of programs; and the challenges facing ITE for the future, and assesses how they play out in a Canadian context. Participants in the symposium will be asked to discuss how these themes are manifested in their own ITE context.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.009 |
| Science and technology studies | 0.026 | 0.007 |
| Scholarly communication | 0.012 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.028 | 0.001 |
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".