Bibliographic record
Abstract
Calgary was the culmination of a five-year project. While the program has many innovative aspects, it is the process of developing and approving a proposal for a professional, course-based program by a faculty perceived to be “service ” oriented that is described here. The challenges, political realities, and fortuitous events are chronicled, along with the lessons learned. RÉSUMÉ L’homologation d’un programme de maîtrise en éducation permanente à l’Université de Calgary est l’aboutissement d’un projet de cinq ans. Si le programme possède de nombreux aspects innovateurs, c’est le processus de développement et d’approbation d’un projet de programme professionnel basé sur des cours par une faculté perçue comme étant orientée sur le «service » dont on traite ici. On rapporte les défis, les réalités politiques et les imprévus, ainsi que les leçons que l’on en a retiré.
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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.009 |
| Scholarly communication | 0.012 | 0.004 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.012 |
| Insufficient payload (model declined to judge) | 0.044 | 0.013 |
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".