Bibliographic record
Abstract
In 1957, McMaster was a small Baptist enclave of traditional higher learning on the western outskirts of Hamilton. Thirty years later it was home to the only nuclear reactor on a Commonwealth campus and had cultivated a thriving engineering program and a world-class medical school. In the third volume of the university's history, James Greenlee illuminates the core ideas, driving ambitions, and occasionally sharp conflicts that marked this startling transition. Greenlee offers a tightly focused study of the planning, people, and events that gave McMaster its distinctive and bold personality. At the heart of these developments stood President Harry Thode, whose master plan forged a research-intensive institution of medium size, but one capable of surpassing the largest institutions in carefully selected fields. Despite dramatic ups and downs, the remarkable persistence of this model is the key to understanding modern McMaster. For readers interested in the problems of mass education in a democratic age, the origins of revolutionary approaches to medical training, or the tangled relations among a university, its community, and the province, this volume, like the McMaster leaders it follows, has a story to tell.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.173 | 0.061 |
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".