Bibliographic record
Abstract
Historien de formation, Jean-François Cardin est didacticien de l'histoire et des sciences sociales à l'Université Laval.Ses principaux intérêts de recherche portent sur les questions d'identités nationales en enseignement de l'histoire, sur l'apprentissage des concepts, sur l'histoire des programmes et de l'enseignement de l'histoire et sur la formation des enseignants.Il a conçu du matériel pédagogique pour les écoles et s'intéresse aussi au manuel scolaire en histoire.Kurt Clausen is associate professor at Nipissing University, North Bay.He is also the editor-in-chief of the Canadian Journal of Action Research.His research interests centre on innovative educational past practices and thought.His most recent SSHRC-funded research examines the creation and legacy of the Hall-Dennis Report.He has recently published in this area in History of Education, Teacher and Teacher Education, and Religion & Education.Sol Cohen is professor in the Graduate School of Education, UCLA.He teaches courses in the history of American education, historiography, philosophy of history, and a course on Hollywood views of American teens and secondary education.He is the author of Challenging Orthodoxies (1999); several essays dealing with the oeuvre of historian Lawrence Cremin in the pages of HSE/RHÉ; and more recently, of "Memoir: A Mosaic of Memories" in Wayne J. Urban, ed.Leaders in the Historical Study of American Education (2011).
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 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.011 | 0.004 |
| Insufficient payload (model declined to judge) | 0.756 | 0.728 |
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".