Bibliographic record
Abstract
Imagine a society that exists solely in cinema — this book explores exactly that. Using a half-century of films from the archival collection of the National Film Board, NFB Kids: Portrayals of Children by the National Film Board of Canada, 1939-1989 overcomes a long-standing impasse about what films may be credibly said to document. Here they document not “reality,” but social images preserved over time — the “NFB Society” — an evolving, cinematic representation of Canadian families, schools and communities. During the postwar era, this society-in-cinema underwent a profound change in its child rearing and schooling philosophies, embracing “modern” notions based upon principles espoused by the American mental hygiene movement. Soon after the introduction of these psychological principles into NFB homes in 1946 and schools in 1956, there was a subtle transformation in adult-child relations, which progressively, over time, narrowed the gulf of power between generations and diminished the socializing roles of the NFB parents and teachers. NFB Kids is a pioneering study within a new field of academic research — “cinema ethnography.” It adds to the growing body of knowledge about the function, and the considerable impact of, psychiatry and psychology in the post-war social reconstruction of Canadian society and social history. It will be of interest to academics over a broad spectrum of disciplines and to anyone thinking about the advancing arbitrary power of the cinematic state.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.072 | 0.016 |
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".