Bibliographic record
Abstract
• Chroniclers observing the complex politics of medieval Brittany referred to it as a “den of scorpions.” Eleventh- and early twelfth-century Brittany was politically unstable, with comital power under threat from both local lords and ambitious neighbors. The counts of Brittany depended upon their wives to bolster relationships with other regional powers, including the church, and to create alliances. These women brought with them relationships, ties, and associations to many powerful ecclesiastical foundations. This article examines the experiences of Countess Havoise (r. 1008–1034), Countess Bertha of Blois (c. 1020–1100), Countess Bertha (d. 1085), wife of Geoffrey Grenonat, and Countess Constance (r. 1076–1090), who all used ecclesiastical patronage to solidify the power of husbands and sons. This support allowed women to develop relationships with medieval clerics, making them, like Queen Esther, ideally placed to intervene and negotiate when tensions arose between the counts and the church.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.020 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 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".