Building teaching capacities in higher education : a comprehensive international model
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
1) Preface-Alenoush Saroyan and Mariane Frenay 2) Prologue-James Groccia SECTION 1: FIVE CASE STUDIES AND A COMPARATIVE ANALYSIS 3) Faculty Development in Canadian Universities-Lynn K. Taylor and Denis Bedard 4) Faculty Development in Switzerland: A Study of French Speaking Universities-Nicole Rege-Colet 5) Danish Faculty Development Strategies-Anette Kolmos 6) Faculty Development in Belgian Universities-Mieke Clement and Mariane Frenay 7) A Glance at the French Experience in Faculty Development-Jean-Jacques Paul and Noel Adangnikou 8) Faculty Development Across Europe and Canada: Comparisons of Five Case Studies-Mariane Frenay and Alenoush Saroyan SECTION 2: DEVELOPMENT AND VALIDATION OF A CONCEPTUAL FRAMEWORK 9) Making the Shift from Faculty Development to Educational Development: A Conceptual Framework Grounded in Practice-Lynn K. Taylor and Nicole Rege-Colet 10) Validation of a Conceptual Framework: The Meaning and Scope of Faculty Development-Denis Bedard, Mieke Clement, and Lynn K. Taylor 11) Epilogue-Kirsten Hofgaard Lycke Index.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 it