Engaging in conversation about ideas in teacher education
Bibliographic record
Abstract
Contents: Caroline Riches/Fiona J Benson: Introduction - Perspectives on Governance: Carolyn M. Shields: American Educational Governance: Rights, Roles, and Responsibilities Meet Paradox and Challenge - Peter P. Grimmett: Response - Peter P. Grimmett: The Governance of Canadian Teacher Education: A Macro-Political Perspective - Carolyn M. Shields: Response - Exploring the Landscape of Teacher Education: Ruth Kane: The Teacher Education Landscape of My Imagining - Thomas Falkenberg: Response - Thomas Falkenberg: Starting with the End in Mind: Ethics-of-Care-Based Teacher Education - Ruth Kane: Response - The Quality of Field Experience Programs: Clare Kosnik: It Is Not Just Practice: Conflicting Goals, Unclear Expectations, Mixed Messages - Jean-Francois Desbiens: Response - Jean-Francois Desbiens: Practical Training Must Be More than Just Good Will in the Field - Clare Kosnik: Response - Responding to Diversity and Demands for Social Justice: Claudia Mitchell: This has nothing to do with us - or does it? Youth as Knowledge Producers in addressing HIV and AIDS in a Canadian Preservice Education Program - Vianne Timmons: Response - Vianne Timmons: Overcoming Barriers to Inclusivity: Preparing Preservice Teachers for Diversity - Claudia Mitchell: Response - Imagining Sustainable Futures for the Work of Teachers: Anne M. Phelan: A New Thing in an Old World? Instrumentalism, Teacher Education, and Responsibility - James Trier: Response - James Trier: Subversive Engagements in Teacher Education - Anne M. Phelan: Response - Fiona J Benson/Caroline Riches: Afterword.
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 | 0.032 | 0.063 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.027 | 0.044 |
| Scholarly communication | 0.029 | 0.025 |
| Open science | 0.003 | 0.016 |
| Research integrity | 0.015 | 0.026 |
| Insufficient payload (model declined to judge) | 0.024 | 0.007 |
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".