Dynasty as a Patchwork House, or the (Evil) Stepmother: The Example of Zofia Jagiellonka
Bibliographic record
Abstract
The significant age difference between Princess Zofia Jagiellonka and her husband had as one advantage for the princess that she had no competitors within her age group (e.g. a stepmother). Moreover, her stepdaughters were approximately the same age and, after her husband’s death, she found herself in similar circumstances to the as a widow. Zofia Jagiellonka eventually resolved the long-standing relationship between her husband and his mistress, knowing in this regard how to defend her social position. She consciously took up the role of mediator among the relatives, and she had a mitigating effect on the tensions between father and son. Her social consciousness included providing for the welfare of the new family by meeting the expectations placed on her with regards to her stepchildren. Her life was not that of the stereotypical “evil stepmother.” Rather, she was someone from whom her stepchildren and others repeatedly sought counsel. Through her royal birth, she was (with regard to her social status) superior to her Guelph relatives, and she had the king—her brother—as her protector. In terms of her relationship to her stepchildren, it was perhaps a great advantage that she herself bore no children, and thus there was no competitive milieu at the court in Wolfenbüttel.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.006 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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; both teacher heads 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".