Bibliographic record
Abstract
Seventy-two years after his accession to the post of prime minister, this book brings together scholars from all points between Victoria and Halifax to consider the record of Louis St-Laurent's term in office.Each academic was invited because of her or his distinguished work either in the period from the late 1940s to the 1960s or because she or he had examined a particular national issue before (albeit in another period).They were quick to volunteer their contribution to this project when I invited them in the summer of 2016, and I am very grateful for their enthusiastic and generous participation.I learned immensely from this collaboration and it was a privilege to work with each contributor.This is their book as much as it is mine.In early May 2018, we gathered under the auspices of the Jarislovsky Chair in Public Management of the University of Ottawa for a stimulating twoday seminar.The exchange of views and interpretations was exhilarating.I am deeply grateful to Dr. Luc Bernier, the holder of the Chair, for funding most of the event and for his wise management of the seminar.The hospitality extended and
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.564 | 0.308 |
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".