Bibliographic record
Abstract
Rochester’s boomtown atmosphere attracted a diverse population and allowed Isaac Post to open an apothecary shop to support his still growing family. As importantly, the Posts engaged new groups of activists even as they immersed themselves in Hicksite debates over abolition, Indian rights, women’s rights, and the appropriateness of Friends participating in worldly (that is, cross-denominational) social movements. Locally, antislavery efforts were led by local blacks and by white evangelicals. Amy signed her first antislavery petition in 1837; and she and Isaac attended antislavery conventions where national leaders spoke. In 1840, they joined evangelical, Hicksite and Orthodox Friends in founding the Western New York Anti-Slavery Society (WNYASS). The WNYASS, auxiliary to the American Anti-Slavery Society, was interracial and mixed-sex. In January 1842, William Lloyd Garrison spoke at its annual convention and stayed with the Posts. That February, Amy helped organize a worldly antislavery fair. The funds were intended to help fugitives seeking refuge in Canada, suggesting that she and Isaac were also involved in the underground railroad. Clearly Amy Post’s activist worlds were expanding, complicating her relationship to the Hicksite meeting and opening up new possibilities for transforming society.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.039 | 0.008 |
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".