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Record W4226162505 · doi:10.32920/ihtp.v1i3.1435

Activating the arts in death: What are the cultural implications for MAiD?

2021· article· en· W4226162505 on OpenAlexaffvenueabout
Esther Ignagni, Eliza Chandler, Kim Collins

Bibliographic record

VenueInternational Health Trends and Perspectives · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicArt Therapy and Mental Health
Canadian institutionsUniversity of TorontoToronto Metropolitan University
Fundersnot available
KeywordsDisability studiesThe artsContext (archaeology)PoliticsSociologyEconomic JusticeGender studiesAestheticsLegislationCriminologyPolitical scienceLawArtHistory

Abstract

fetched live from OpenAlex

This discussion paper attends to subcultural production emerging at the intersection of Medical Assistance in Dying (MAiD), death, disability, and other forms of precarious life. We think with disability arts, that is art created by disabled, mad, sick, and ill people that springs from the experience, politics, and culture of disability (Frazee, 2008) and plays an important role in advancing disability rights and justice. We consider how this form of cultural production animates diverse and intersectional representations and political perspectives in ways that are invitational rather than didactic or prescriptive. By engaging three Canadian disability performance art pieces that activate “crip theory” critical perspectives, we consider how these subcultural productions both indirectly support and extend disability rights endeavours to challenge the implementation of MAiD legislation in Canada. We highlight how each of these works creates space for thinking about the relationship of death and dying in nuanced ways that promote disability life and vitality in a post-MAiD context, without slipping into ableist tropes.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.889
Threshold uncertainty score0.639

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.171
GPT teacher head0.407
Teacher spread0.236 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations4
Published2021
Admission routes3
Has abstractyes

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