L’incursion de l’onf dans la thérapie psychiatrique : genèse, réalisation et pérennité de la série <i>Mental Mechanisms</i>
Bibliographic record
Abstract
The Mental Mechanisms series, produced by the National Film Board of Canada at the end of the 1940s, came to be at a particularly effervescent conjuncture in Canadian psychiatry: its institutional opening to research, teaching, and clinical work. Born in large part thanks to the desire of psychiatrists to introduce first still and then moving images to their experiments in group therapy, it quickly found a “big audience” via the NFB’s circuits of community distribution. It was first a therapeutic, but then became an educational, training, prevention, and public health tool. If historical studies of the NFB’s productions have basically brought to the fore the series’ “community life,” this bit of large-scale distribution so important to the NFB of the period, the series nevertheless continues to have a kind of “therapeutic existence.” By returning to the NFB archives, this article discusses the series’ initial, basically therapeutic raisons d’être in the context of its emergence as a therapeutic application in psychiatry. The article also seeks to place the series in its own specific context: within a history of therapeutic projection.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.041 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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".