Happiness Is Not Always Fun: An Unsuspicious Reading of <i>Ali: Fear Eats the Soul</i>
Bibliographic record
Abstract
The film-philosophy of Stanley Cavell has had a clear and ongoing influence on the recent focus on film in educational philosophy. Here, Cavell’s film-philosophy is brought into conversation with the work of the anthropologist Veena Das and the literary theorist Toril Moi to further articulate the educational force of film. The practice of responding to film in terms of its specificity as film and its educational potential is discussed in relation to R. W. Fassbinder’s film Ali: Fear Eats the Soul. Cavell, Das, and Moi are drawn upon to articulate, in a post-critical vein, the invitation to self-examination brought about by the film’s presentation of the ordinary and the violence of the everyday. This reading contrasts, though perhaps sometimes complements, the “hermeneutics of suspicion” seen to characterize critical textual analysis, and recasts, uncomfortably sometimes, the political, from something to be uncovered to something of which we are constitutive.
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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 | 0.003 | 0.006 |
| 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 | 0.028 |
| Scholarly communication | 0.010 | 0.009 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.009 |
| Insufficient payload (model declined to judge) | 0.003 | 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".