Bibliographic record
Abstract
The following papers were presented to the Canadian Society of Church History, but were not made available for publication: Eleanor Stebner, “Apologizing for Past Wrongs: A Step Towards Global Citizenship?”; Marguerite Van Die, “‘What God hath joined . . .’: Religious Perspectives on Marriage and Divorce in Late Victorian Canada”; Darren Dochuk, “Hillybilly Preachers, Plain Folk, and ‘Ham and Eggs’: California’s Tumultuous Turn from Depression-era Populism to Post-war Conservatism”; Gary Miedema,“‘A Christian Country’: Religious Broadcasting and the Canadian Broadcasting Corporation, 1938-1960”; Sachiyo Takashima, “Women Who Made a Great Bridge Between North America and Japan: Gwen Norman and Haru Matsukata Reischauer, and their Efforts to Create Mutual Understanding”; and Gordon Heath, “‘Forming Sound Public Opinion’: Late Victorian Canadian Protestant Press and Nation-Building.” The conference also included a joint session with the Canadian Theological Society on “A Pilgrimage in Progress: A History of the United Church of Canada.”
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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.626 | 0.440 |
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".