Return to an address from the legislative assembly to his excellency the Governor General ... "Returns from the University of Toronto, Upper Canada College, Victoria, Regiopolis, and Queen's Colleges, shewing their annual expenditure and income, ...". Toronto, 18th June, 1856.
Bibliographic record
Abstract
Do doMedical Jurisprudence Do do 4th.Having attended for at least 12 months the practice of some general hospital having not less than fifty beds : and having attended, during six months, clinical lectures on medicine and surgery.5th.Having pursued some part of the prescribed course of studies for the period of 12 months, under the direct superintendence of some licensed medical practitioner, and producing a certificate of such study.6th.Having passed, in this University, an examination in all the subjects specified in article 3. N. B.Certificates of all the requisites (excepting 2 and 6) must be deposited with the registrar, at least 14 days before the first day of the examination appointed for candidates for the degree of Bachelor of Medicine.Candidates will be also required to deposit at the same time certificates of good conduct.2nd.The following shall be the requisite for admission to the degree of Doctor of Medicine, viz.: Having been admitted to the degree of Bachelor of Medicine.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.370 | 0.140 |
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".