Matchmaking Matrons and the Misread Maidens of the Cambridge Charity Organization Society
Bibliographic record
Abstract
Less than two years after leaving her teaching post in Marlborough, Eglantyne announced that she had ‘set up a new amusement’, that ‘sandwiched’ between ‘tea parties, calls and at homes’, she had begun going as a ‘visitor’ to Cambridge Charity Organization Society meetings. 1 The Charity Organization Society (COS) had been founded in 1869 by two philanthropic reformers, Charles Bosanquet and Charles Steward Loch, who believed that the undeserving poor and professional beggars had no reason to commit themselves to an honest day’s work when they could survive suitably well on hand-outs. The COS took upon itself the responsibility of combining and co-ordinating the efforts of old Victorian charities with the new state provisions under the Poor Law by making sure that the services did not duplicate each other. Its other goal was to reduce the widespread abuse of philanthropic agencies, which Organizationists believed occurred when the wily and cunning poor hoodwinked local charities. 2 In 1902, Eglantyne was not interested in catching paupers; she was interested in studying the people who studied poverty. The COS meetings entertained her. ‘The people who are on the committee amuse me—and the cases amuse me still more’. 3 Like a Punch satirist ridiculing the upper-class response to the plight of paupers, 4 Eglantyne mocked the diamonds on the ‘very white fingers’ of the honorary secretary’s hands. ‘Case after case read, case after case ticked off, a jotting in the account book, an entry in the journal, then the flare of the gay light in the dark ugly room, the earnest faces coming out of the shadows, stories of drunkenness, debt, disease: one goes on then to the next tea party’. 5 These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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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 | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.020 | 0.011 |
| Scholarly communication | 0.013 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.056 | 0.009 |
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".