Bibliographic record
Abstract
This article develops the concept of «operational media» to think through the deployment of utility/useful cinema in the context of cybernetically informed educational policy. The paper argues that cybernetic concepts of communication, feedback loops and homeostasis were central to the pragmatic installation of media at the center of postwar mass education. Links are made to the dominance of cybernetic ideas in postwar social science, including social psychology, sociobiology and behaviourism. A consideration of the UN’s operational media allows for a reconsideration of the agency’s communicative mandate as biopolitical and governmental. Educational policies influenced by the UN were doubly concerned with technologized classrooms: cybernetic ideas presented themselves as politically neutral, while offering efficiencies in the delivery of content. Cold war citizenship was thus conceived as a form of training that would pragmatically lead to the rebalancing of a volatile international situation. Carrefour de la vie (1949), made by Belgian filmmaker Henri Storck for the United Nations, is presented as an example of the centrality of mental health for citizenship training in postwar biopolitical regimes. In particular, the tension between the film’s humanist and cybernetic strands are considered. Au Carrefour de la vie is considered as a transitional text, presenting a humanist story of childhood in postwar life that simultaneously prefigures the operation of a controlled society.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.017 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".