Bibliographic record
Abstract
On a beautiful day in May 1916, a graduation convocation was taking place at the Royal Victoria College assembly hall at McGill University in Montreal. The events of this assembly were related years later by Dr. Harold Segall, who was present at the convocation as a freshman in the McGill Medical School. The convocation was proceeding as scheduled. The new graduates in medicine had been capped, and the various prizes had been awarded. The moment for the delivery of the valedictorian address arrived and Harry Goldblatt, the valedictorian and first in the senior class came up to the podium to deliver his address. He began by paying tribute to the great men of the university who were responsible for McGill’s reputation as one of the leading medical schools in the country. Then, as freshman Harold Segall reported the proceedings, Harry exploded a bomb. He stated that the reputation of McGill was in great danger and that measures should be taken to save it. Harry mentioned that the Carnegie Foundation which had given McGill an “A” rating in 1909 was about to reduce it to a “B.” He enumerated McGill’s deficiencies, contended that the medical school was living off the reputations of Osler and Roddick in the 1880s and 1890s and stressed the lack of adequate facilities for and interest in research.
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 | 0.005 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.004 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.009 |
| Insufficient payload (model declined to judge) | 0.120 | 0.062 |
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".