Bibliographic record
Abstract
Completing a book can sometimes seem like a long and lonely project.This book, however, was energized and informed by a number of individuals and institutions.They shared, supported, and confirmed my curiosity and helped me to sustain the research and the completion of the work.It is a pleasure to have this opportunity to acknowledge, to credit, and to thank them.This project was based to a tremendous extent on accessing archival material, papers, and information -and various individuals were critical in this regard.Kathleen Garay is an archivist at McMaster University, where the Marian Engel Archive is housed.Her expertise and support in helping me to access this archive were equaled by her shared enthusiasm for the treasures of the collection.My research on Rains's roots in Wales took me to the Pembrokeshire County Records Office in the spring of 2006, and my good friend Conny Steenman-Marcusse provided energetic company, encouragement, and assistance in hunting down material.My research on Rains's experiences in Canada included trips to St Joseph Island in the summers of 2003 and 2005, and the use of materials in St
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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 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.320 | 0.266 |
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".