Bibliographic record
Abstract
CHURCHILL'S ISLAND AND REFLECTIONS UPON 'BUSH'S ISLAND' AND THE 'WAR ON TERROR' In those fateful autumn days of 1940 when none knew what terror the skies might hold, there appeared from end to end of Britain the strangest fighting force the world has ever seen, an army of citizens, self-organized, self-disciplined. Their armament? Hoses, stirrup pumps, sand bags, brooms, and buckets. Their purpose, to save their town, their city, their community from the fate of Rotterdam and Warsaw. (Legg, 1941) These words are part of the narration from a classic Wartime documentary film, a propaganda film if you will, called Churchill's Island (Legg, 1941). It is not a British film as one may imagine, but is, in fact, an early effort of the National Film Board of Canada, an example of one of its Wartime 'patriotic' (National Film Board of Canada, 2003) films. Churchill's Island was successful...
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.007 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.017 | 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".