Shared Sensorialities: Reshaping Cinema through Neurodiversity. A Conversation with Steven Eastwood on <i>The Stimming Pool</i> (2024)
Bibliographic record
Abstract
In this conversation, filmmaker and researcher Steven Eastwood reflects on the collaborative process behind the creation of The Stimming Pool (2024), co-directed with neurodivergent members of the Neurocultures Collective. He discusses the ethical and aesthetic stakes of a co-creation in which atypical subjectivities are not merely represented but actively participate in redefining the very codes of cinema. Reflecting on working methods grounded in slowness, trust, and attentiveness, Eastwood describes the development of an “autistic camera” and the exploration of non-linear narrative forms grounded in alternative perceptual regimes. Far from an illustrative or explanatory approach, the film embraces sensory and relational co-experimentation. In doing so, it offers a shift in perspective: a cinema shaped through alterity, resonance, and the shared inhabiting of divergent perceptual worlds.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".