The Barry Urban District Council, disaster relief funds and civic society, 1913–1934
Bibliographic record
Abstract
Abstract The early twentieth century witnessed some of the worst mining disasters the UK has ever seen. Towns and cities leapt to the aid of bereaved families, raising tens of thousands of pounds in aid. Yet, while the effects of disaster funds on the locality in which they were administered have been the focus of scholarly work, little attention has been given to how these funds were created in constituencies outside of the disaster zone. The Barry Urban District Council (UDC) responded to the call for help after the Senghenydd (1913) and Gresford (1934) disasters, opening relief funds to aid the affected. The funds blurred the line between charity and local government, with the Barry UDC reliant on functions of civic society to aid its philanthropic turn. Their reaction offers insights into the charitable role of UDCs, reflecting on how they used these opportunities to further civic activity.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.010 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
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".