Bibliographic record
Abstract
BACKGROUND: The academic half-day (AHD) appears to have become widespread in Canadian neurology residency programs, but there is little published information about the structure, content, or impact of the AHD. METHODS: A written questionnaire was sent to the directors of all active Canadian adult and child neurology residency programs. RESULTS: All 21 program directors responded. An AHD was operating in 15/15 adult and 5/6 child neurology programs. The AHD typically lasts three hours, and occurs weekly, 10 months per year. Most of the weekly sessions are lectures or seminars, usually led by clinicians, with about 90% resident attendance. Course-like features (required textbook, examinations) are present in many AHDs. There is a wide range of topics, from disease pathophysiology to practice management, with considerable variation between programs. CONCLUSIONS: Almost all Canadian neurology programs now have an AHD. Academic half-days are broadly similar in content and format across the country, and residents now spend a substantial portion of their training attending the AHD. The impact of the AHD on how residency programs are organized, and on the learning, clinical work, and professional development of residents merits further study.
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 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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 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".