Bibliographic record
Abstract
These studies are absorbing explorations of domestic service through single families, in each case primarily through the writings of the master or mistress. The story of Phoebe Beatson, as told by Steedman, arises from the voluminous archive created by the Revd John Murgatroyd in the West Riding parish of Slaithwaite. Murgatroyd, the son of a Halifax blacksmith, became a schoolmaster, and was ordained a priest in 1755. He held a curacy for some years but never succeeded in gaining a benefice, so performed the services of a peripatetic Anglican preacher for the rest of his life. Phoebe Beatson went to work for John Murgatroyd and his wife Ann in 1785, at the age of nineteen. Phoebe's mistress died in 1797, whereupon Murgatroyd's sister came to live with him until her death four years later. But while her two mistresses may have had more contact with Phoebe than Murgatroyd did, she...
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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 | 0.011 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.014 | 0.032 |
| Scholarly communication | 0.018 | 0.026 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.008 | 0.012 |
| Insufficient payload (model declined to judge) | 0.016 | 0.006 |
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".