Massachusetts Archives Collection. v.61-Maritime, 1671-1694. SC1/series 45X, Petition of Ruth Knill
Bibliographic record
Abstract
Petition subject: Slaves Original: http://nrs.harvard.edu/urn-3:FHCL:13909047 Date of creation: 1697-10-30 Petition location: Charlestown Selected signatures: Ruth Knill Actions taken on dates: 1693-09-10,1697-10-30,1697-10-30 Legislative action: Read in the Council on September 10, 1693 and received in the House on October 30, 1697 and voted and granted and sent for concurrence and received in the Council on October 30, 1697 and voted and concurred Total signatures: 1 Legislative action summary: Read, received, voted, granted, sent, received, voted, concurred Female signatures: 1 Female only signatures: Yes Identifications of signatories: widow, [females] Prayer format was printed vs. manuscript: Manuscript Additional archivist notes: Sambo, Phillip Knill, ship swan, Captain Thomas Gilbert, Barbadoes, Barbados, Canada expedition, [index: "account of masts etc."] Location of the petition at the Massachusetts Archives of the Commonwealth: Massachusetts Archives volume 61, page 357 Acknowledgements: Supported by the National Endowment for the Humanities (PW-5105612), Massachusetts Archives of the Commonwealth, Radcliffe Institute for Advanced Study at Harvard University, Center for American Political Studies at Harvard University, Institutional Development Initiative at Harvard University, and Harvard University Library.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.011 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.007 | 0.007 |
| Insufficient payload (model declined to judge) | 0.273 | 0.119 |
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".