The Language of Blindness and its Rapport with Sight: Immersive Descriptive Audio and Rainbow On Mars
Bibliographic record
Abstract
Rapport defines a certain kind of relationship, one that is not close. Rapport, in other words, defines the closeness and relatability that a relationship should have. This article engages the question, can blindness and sight develop a rapport? It is this question of rapport that animated the 2021 Pop-Up workshop of my play, Rainbow on Mars with Toronto immersive theatre company, Outside the March. The question of building a rapport was not only asked of the entities/characters Blind and Sight but also of the theatre itself and of its audiences. How might blindness and sight come together in the theatre in such a way that does not simulate blindness (blind folds, absence of stage lighting, etc.) nor privilege sight (audio description through headsets for blind patrons only)? This article explores the building of rapport between blindness and sight through the play Rainbow on Mars and the development of, what I call, Immersive Descriptive Audio.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.006 | 0.017 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".