Bibliographic record
Abstract
When one gets to the actual stage of turning a question that has been of personal interest for many years into an actual concrete work, it becomes clear that producing a book is not the solitary experience that I used to think it had to be.There have been many people to whom I owe a great number of intellectual and personal debts for their support or for inspiring any originality that this work may have.Any defects are obviously not their fault, but lie with the author. My parents, John and CatherineAbbott, who immigrated to Nova Scotia in 1943, provided my siblings and me with an awareness of our Newfoundland Irish Catholic heritage that gave me my first insights into the relationship between religion and popular culture.And even though it has been many decades since I belonged to the Church, I look back very fondly on my Catholic experience.In particular, I feel gratitude to and respect for the saintly Rev. William Donnelly, parish priest of St Clement's, Dartmouth, Nova Scotia, from 1955 until his untimely death at age 47 on 7 July 1964.Even before my first visit in 1966, I was fascinated by Québec's history and people; the countless acts of kindness from so many people when I lived there or during my frequent visits of research have only deepened my affection and strengthened my fascination for the people and the place.This book is a small token of my gratitude to them.Peter Moogk, emeritus professor of history at the University of British Columbia, and a recognized expert on the people of New France, guided me through my first post-graduate work on Québec popular culture in the urban setting of the Québec Winter Carnival of 1894.Over the past thirty years, the Vancouver Folk Music Festival has given me numerous occasions to appreciate the affirmative power of popular
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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 | 0.004 | 0.019 |
| 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 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.414 | 0.260 |
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".