Breaking Down Social Barriers: The Home Guard
Bibliographic record
Abstract
Jack Ford had been a conscript in the "First War" and at 41 years old in 1940 was deemed too old to be called up again, so joined the Home Guard in Rochdale. Having been trained in the use of a rifle he was able to tutor some of the less experienced members. These included Jim Welburn, a millowner (the contributor was told) from Norden, who befriended Jack. Jack was a window cleaner, so their paths would not have normally crossed in peacetime. Jim discovered that Jack's son, Brian, was planning to study English at university towards the end of the war. His wife, Emily, had studied English in Manchester about 30 years earlier. They gave Brian some of her books, which are still kept by the contributor. Apart from cementing social cohesion, life in the Rochdale Home Guard was largely uneventful. Jack related one particular story to the contributor. Avro Lancasters were manufactured in Chadderton between Oldham and Manchester. German pathfinders would drop flares on the moors outside Rochdale to guide the way for bombers to attempt to destroy the factory. The local Home Guard armed with buckets of water would douse the flares to foil the Luftwaffe. They also serve who carry buckets of water!
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.020 | 0.009 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.021 | 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".