Wales' hidden industry: Domestic service in South Wales, 1871-1921.
Bibliographic record
Abstract
Lucy Delap's Knowing Their Place (2011), and Lucy Lethbridge's Servants (2013).64Domestic servants have once again emerged as a potent figure in popular culture with the success of programmes such Downton Abbey and the brief return of Upstairs Downstairs.65 Vast arrays of servant memoirs are now available as well as a new edition of Margaret Powell's autobiography.66This reflects the development of a wider interest in twentieth-century women's work experiences, with female police officers, midwives, nurses, and teachers being common subjects of interest.67This may have been the result of the increased prominence of women's history, popular 60 Dawes, Not in Front o f the Servants', McBride, The Domestic Revolution', Horn, The Rise and Fall o f the Victorian Servant (Dublin: Gill and Macmillan Ltd, 1975).61 Beryl's Lot was a television programme loosely based on the life o f ex-servant Margaret Powell broadcast between 1973 and 1977.Powell was an ex-kitchen maid who found fame as an author and television personality after the publication o f her memoirs in 1968 entitled Below Stairs.The increased interest in servants is discussed further in Dawes, Not in Front o f the Servants, Preface; and
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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 | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.003 |
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".