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Record W4411985579 · doi:10.15353/cjds.v12i3.1037

“Any sort of assessment that does not contain writing a multiple-page APA style essay, count me in”: Reflections on the use of playwriting assignment in a critical disability studies classroom

2023· article· en· W4411985579 on OpenAlexaffvenue
Alan Santinele Martino, Brenna McGillion, Athina Spiropoulos, Erin Adams, Maeve Butts, Ruby Chao, Molly Johnson, Kim Lugay, Destiny Meyler, Melissa Miller, Eleni Moumos, Danielle Olmstead, Angel Onuh, Crystal Siewart, Angelica C. Uy

Bibliographic record

VenueCanadian Journal of Disability Studies · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Technology Integration
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordssortStyle (visual arts)Disability studiesPsychologyMathematics educationComputer scienceSociologyLiteratureGender studiesInformation retrievalArt

Abstract

fetched live from OpenAlex

The use of art-based approaches in teaching critical disability studies can provide students with the opportunity and space to take creative risks and advance their critical thinking skills in ways that go beyond the traditional assignment. Anchored in a critical disability studies perspective, in this paper, instructors and students in a third-year level critical disability studies course share our reflections on a playwriting assignment aimed at highlighting the intersectional complexities and social processes of inequality embedded into older adults' experiences of disability.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.024
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.798
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.024
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.004
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.296
GPT teacher head0.472
Teacher spread0.177 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes2
Has abstractyes

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