Bibliographic record
Abstract
Advancing Studies in Religion catalyzes and provokes original research in the study of religion with a critical edge.The series advances the study of religion in method and theory, textual interpretation, theological studies, and the understanding of lived religious experience.Rooted in the long and diverse traditions of the study of religion in Canada, the series demonstrates awareness of the complex genealogy of religion as a category and as a discipline.ASR welcomes submissions from authors researching religion in varied contexts and with diverse methodologies.The series is sponsored by the Canadian Corporation for Studies in Religion whose constituent societies include the Canadian Society of Biblical Studies, Canadian Society for the Study of Religion, Canadian Society of Patristic Studies, Canadian Theological Society, Société canadienne de théologie, and Société québécoise pour l'étude de la religion.1 The al-Baqara Crescendo Understanding the Qur'an's Style, Narrative Structure, and Running Themes Nevin Reda 2 Leaving Christianity Changing Allegiances in Canada since 1945
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.895 | 0.833 |
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".