Bibliographic record
Abstract
GrahamMclnnes is one of a large number of talented young people who worked at the National Film Board of Canada during the heady days of World War II.Virtually unknown even to the most conscientious film academics and trivia-saturated film buffs, he is the author of the accompanying reminiscence, One Man's Documentary, which he has called "an eyewitness memoir of days of high excitement."It is an insider's look at the people and practices of the NFB from 1939 to 1945, a vivid "origin" story about Canada's emerging world-class film studio, providing the NFB with the kind of fall-bodied vitality usually associated with Paramount, MGM, or Warner Bros.Sydney Newman, former head of drama for BBC-TV and CBC-TV, and National Film Board commissioner from 1970 to 1975, calls it "a fascinating and valuable chronicle of those wartime years in Canada, and of the somewhat exotic characters whom Grierson brought together to make wartime propaganda films."Mclnnes was working as a CBC radio broadcaster, art critic, extension lecturer, and freelance writer, with regular contributions to Canadian Forum, Saturday Night, and Queen's Quarterly, when he began writing scripts for newly appointed Film Commissioner John Grierson in the fall of 1939.He was one of the first freelance scriptwriters hired.Three of the
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.528 | 0.332 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".