Bibliographic record
Abstract
Dr Alan Betteridge, who died on 7 July 2024, developed extraordinarily wide intellectual interests. The philosophy he lived by was rooted in three traditions: existentialism, ecology and humanism; and his funeral, held on 28 July, was conducted beautifully by a humanist celebrant – just as Alan would have wanted. As the Halifax Archivist, Alan brought to this post both his deep knowledge of West Yorkshire history and up-to-date professional policies and practices. I worked with Alan in many contexts. But probably his greatest contribution for me was his conservation of the Anne Lister diaries (1791–1840), stored within the extensive Shibden Hall papers. Her journals came to international attention and acclaim in 2019 with Sally Wainwright’s TV drama series ‘Gentleman Jack’ (BBC1/HBO). Alan had an impressively mobile academic journey. He was born on 1 November 1942 in the West Yorkshire pit village of Ferry Fryston. His father, a jazz drummer, left the family during Alan’s childhood. An only child, he was brought up by his mother. Always quietly studious, Alan went from grammar school to King’s College London, where he studied French and German. After two years in Germany and a spell teaching in a secondary modern school in Wakefield, he decided it would suit him better to do a postgraduate degree in librarianship at Leeds University.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.080 | 0.041 |
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".