Medicine then vs. now: perspectives on the history of Canadian medicine with Dr Douglas Bocking
Bibliographic record
Abstract
Throughout the history of healthcare, revolutionary insights into the biological systems underlying human disease have been repeatedly informed by the efforts of correspondingly radical thinkers. Notwithstanding the relatively brief chronology of Canada, several prominent contributions from Canadian scientists, physicians, and academic leaders have facilitated innovations that continue to curb illness worldwide. The channels for these transformations have been facilitated by perspicacious individuals that have devoted their lives to bridging crucial holistic gaps between science and medicine. Dr Douglas Bocking is one of these individuals. Through progressing the conception of medical innovations and pioneering the launching of novel academic partnerships, he helped establish the University of Western Ontario (UWO) as a leader in medicine within Canada and throughout the world. Bocking’s ardent enthusiasm and cheerful character continues to empower mentees at all experience levels. The Government of Canada formally recognized his steadfast commitments to Canadian healthcare by appointing Bocking to the Order of Canada in 1999. His empathic and innovative disposition has also been immortalized by the Douglas Bocking Award, one of UWO’s highest teaching honours. Beyond the admirable appointments and accolades, Bocking remains an active member of London and UWO communities at 98 years young, continuing to engage and inspire future generations of physicians. His contributions to the development of Canadian healthcare have transcended into improved understanding of the human experience and have enhanced the quality of life for millions of individuals.
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 | 0.011 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.066 | 0.038 |
| Scholarly communication | 0.018 | 0.010 |
| Open science | 0.004 | 0.007 |
| Research integrity | 0.012 | 0.029 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".