Making Multiple Deaf Worlds Intelligible: A Posthumanist Arts-based Cartography of Apple Time
Bibliographic record
Abstract
In this paper, I provide an arts-based posthumanist cartography of a theatre play, Apple Time performed by deaf youth in Regina, Saskatchewan. This play was co-constructed by deaf youth performers, two deaf adults, a hearing teacher, and a hearing director. Apple Time premiered in Regina, Saskatchewan on June 2, 2018, and was remounted again at the Globe Theatre (Regina) in February 2019 and again at the SoundOff Festival in Edmonton, Alberta. The arts-based cartography examines intelligibility as a methodological problem as posited by Graif (2018), in which the actions of deaf children and youth often remain invisible due to the ontological position that perception of the world is predicated upon the ability to hear. Intelligibility as a methodological problem poses a challenge to the deficit perspective commonly held by families and service providers working with deaf children and youth (Glickman & Hall, 2019). The performers in this play were able to re-align audience perceptions through the presentation of their inner worlds and preoccupations, thereby making their multiple deaf worlds more intelligible.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".