Poverty among the elderly in late Victorian England<sup>1</sup>
Why this work is in the frame
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Bibliographic record
Abstract
Despite rapid increases in manual workers' wages, poverty rates among the elderly remained high in late Victorian England, although they varied significantly across Poor Law Unions. This paper begins by examining the ability of workers to provide for their old age. A data set is constructed, consisting of all English Poor Law Unions in 1891–2, and regression equations are estimated in order to explain variations across unions in pauperism rates. This is followed by the testing of several conjectures made by contemporaries, and repeated by historians, regarding the deterrent effect of workhouse relief, the effects of wages and of the industrial character of Poor Law Unions on pauperism rates, and regional differences in workers' reliance on the poor law. The paper then examines the implications of these results for the debate over national old age pensions in the decades before the adoption of the Old Age Pension Act.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.004 |
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 it