Index: Volume 45
Bibliographic record
Abstract
Colleagues, and Teachers' Federation as Mentors in Collaborative Action Research / Les membres d'une faculté, les collègues et une fédération d'enseignement comme mentors dans une action de recherche collaborative 81 BERGER, MARIE JOSÉE (w.M. J. Hinds) Assessment of Professional Development by Teachers and Administrators: An examination of the literature in the context of one case study / Évaluation du développement professionnel par les enseignants et les administrateurs: une analyse de la litterature dans le contexte d'une étude de cas 393 BOUCHER, VIVIANE (w. C. Turcotte, C. Croisetère, & É.Cloutier) Quand chercheuses et intervenantes scolaires s'unissent pour répondre aux besoins des jeunes lecteurs en difficulté de mileu défavorisé / Researchers and Practitioners Working Together to Answer the Needs of At-risk Young Readers 495 BROWNLEE, KEITH (w.J. Whitley, E. P. Rawana, & M. Pye) Are Strengths the Solution?An exploration of the relationships among teacher-rated strengths, classroom behaviour, and academic achievement of young students Les forces sont-elles la solution?Exploration des relations existant entre les forces identifiées par l'enseignant, le comportement en classe et la réussite académique des jeunes élèves 45 BUZZA, DAWN (w.D. Kotsopoulos, J. Mueller, & M. Johnston) Investigating a Professional Development School Model of Teacher Education in Canada / Explorer un modéle de développement professionnel de formation des enseignantes en milieu scolaire au Canada 287 CARLSON BERG, LAURIE DIANE Experiences of Newcomers to Fransaskois Schools: Opportunities for community collaboration Les expériences des nouveaux-venus dans les écoles fransaskoises: des opportunités de collaboration communautaire 535 CHARLAND, JULIE (w.M.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.827 | 0.798 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".