Bibliographic record
Abstract
This book not only began but also ended while I was a "Scholar in Residence" at the idyllic Rockefeller Villa Serbelloni overlooking Lake Como.While travelling there, many years ago, I spent time at the WHO headquarters in Geneva and discovered, to my total astonishment, that the first director general of the World Health Organization was a Canadian by the name of Brock Chisholm.I had no idea and was mortified at my ignorance, and I was even more surprised on my return to Canada to discover that few of my peers knew of him either.So I began to investigate his life and work at the WHO, and years later I returned to Bellagio to write the book's first complete draft.My thanks are extended to the villa's staff for their gracious hospitality.Library and Archives Canada in Ottawa and the WHO Archives and Library in Geneva soon became the centres of my world.The staff in Ottawa were, as always, helpful and efficient, and I thank them for it.In Geneva I owe a huge thank you to Ineke Deserno, Marie Villemin, and Patrick McCormick, who helped me struggle through the complexities of their archive holdings.Socrates Litsios, retired to a wonderful spot overlooking Lake Neuchatel after years of service with the WHO, provided much encouragement and information and also converted me into a fan of the Baulmes Football Club, which will, fifty years from now, be challenging for the UEFA championship.I would like also to thank the staff of the John Knox Centre, a few minutes' walk from the WHO, where my wife and I spent many happy weeks.At home, the helpfulness and humour of Mary Macdonald, Nadine Boutilier, and Janis Patrick, three of the librarians at Dalhousie University's Medical Library, the third centre of my world, were more than appreciated.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.396 | 0.212 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".