Striving for Religious Perfection in the Lay World of Northern Europe
Bibliographic record
Abstract
A sermon detailing the active and contemplative life by the Dominican preacher Meister Eckhart (d. c. 1328) opens, “St. Luke writes in his gospel that our Lord Jesus Christ entered a little town where a woman named Martha received him. She had a sister named Mary who sat at Christ’s feet and listened to his words; but Martha hurried about serving our dear Lord.” As Giles Constable has demonstrated, both Martha and her sister Mary were popular and important models in later medieval devotion. Mary was identified with the anonymous sinner who washes Jesus’ feet (Luke 7:36–50) and with Mary Magdalene. Nevertheless, it is important to keep in mind that Martha, this quiet and industrious woman from Bethany, became an influential model for pious lay women during the high and later Middle Ages. Given her importance, the late medieval cult of Martha both offers a point of entry to the subject of lay religious life and forms the basis for this chapter.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.007 | 0.008 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".