Breaking boundaries : female biblical interpreters who challenged the status quo
Bibliographic record
Abstract
CONTENTS Abbreviations 1. Introduction: Boundaries Broken, Voices Heard Nancy Calvert-Koyzis, Heather E. Weir 2. Retelling and Misreading Jesus: Eudocia's Homeric Cento Brian Sowers 3. Vindicating Womankind: Aemilia Lanyer's Salve Deus Rex Judaeorum Caryn Reeder 4. Reading Nature Before Reading the Bible: Sarah Trimmer's Natural Theology Heather E. Weir 5. Eliza Smith's The Battles of the Bible: Biblical Interpretation in Service of a Christian Social Agenda in Nineteenth-Century Urban Scotland Bernon Lee 6. Miss Greswell Honed Our Hebrew at Oxford: Reflections on Joana J. Greswell and Her Book Grammatical Analysis of the Hebrew Psalter (1873) J. Glen Taylor 7. Ready to Sacrifice All: The Repentant Magdalene in the Work of Harriet Beecher Stowe Nancy Calvert-Koyzis 8. Olympia Brown: Reading the Bible as a Universalist Minister and Pragmatic Suffragist Beth Bidlack 9. Leaving Eden: Resurrecting the Work of Katharine Bushnell and Lee Anna Starr Kristin Kobes Du Mez 10. Elizabeth Mary MacDonald: An Early Canadian Contribution to the Study of Women in the Ancient Near East Rebecca G. S. Idestrom 11. Harriet Beecher Stowe's Interpretation of the Virgin Mary: The Significance of Maternal Ideology for Home and Society Nancy Calvert-Koyzis Index.
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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 | 0.009 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.036 | 0.028 |
| Scholarly communication | 0.015 | 0.010 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.007 | 0.010 |
| Insufficient payload (model declined to judge) | 0.015 | 0.003 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".