Agatha Streicher (1520-1581): Schwenkfelder, Networker, and Physician in Ulm
Bibliographic record
Abstract
It is well known that women played key roles as leaders and networkers in the community of Schwenkfelders in southern Germany in the sixteenth century. Significant scholarly attention has been paid to Sibilla Eiselin (Sybilla Eisler), wife of Augsburg councilman Stephan Eiselin. 1 She received more letters from Caspar Schwenckfeld than any other person and played a major role in preserving his correspondence. n this essay, I focus on Agatha Streicher (1520-81) in Ulm, the youngest child in a family devoted to the reforming ideas of Caspar Schwenckfeld. Agatha's mother, Helena Streicher (d. 1549), was a central figure in the south German network of Schwenkfelders, receiving letters and questions that she passed on to Schwenckfeld. A noted physician, Agatha Streicher was present at Schwenckfeld's death in her family's home in 1561, and wrote an account of the last weeks of his life. 3 Agatha became the leader of the Ulm Schwenckfelders after her sister Katharina's death in 1564.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.006 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".