Bibliographic record
Abstract
In many parts of Canada, but categorically not in Saskatchewan, Justice Emmett Hall is thought to be the father of Medicare. This is because the enlightened solution to the provision of medical services that we enjoy came as the result of the recommendation of the Royal Commission on Health Services of which Hall was the Chairman. There is another reason to introduce Hall in this setting: he and Tommy Douglas were good friends. To illustrate this, Fr. Anthony Hall, his young brother, told a cute story at the inaugural Justice Emmett Hall Memorial Lecture, in 1997. It seems that Tommy was in the Civic Hospital, and Emmett was in town on business, and asked to be driven to the hospital to see Tommy. Father Hall said, “I waited outside in the car, and, when Emmett came out he was chuckling, so I asked him why are you so happy? And he told me that Tommy was asleep when he went into the room, but, the patient in the other bed said go ahead, wake him up, he won’t mind. So, Emmett woke him up and then Tommy Douglas exploded in astonishment and said, ‘so, you’re here too, Emmett .I’m in heaven that’s what I’m dreaming about, but how did you get here?’”
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 | 0.012 | 0.048 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.016 |
| Science and technology studies | 0.017 | 0.006 |
| Scholarly communication | 0.016 | 0.005 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.013 | 0.017 |
| Insufficient payload (model declined to judge) | 0.024 | 0.005 |
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".