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Record W4308952509 · doi:10.1177/10497323221138004

Transitions Theatre: Creating a Research-Based Reader’s Theatre With Disabled Youth and Their Families

2022· article· en· W4308952509 on OpenAlexafffund
Yukari Seko, Anna Oh, C. J. Curran, Gillian King

Bibliographic record

VenueQualitative Health Research · 2022
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsUniversity of TorontoLondon Health Sciences CentreToronto Metropolitan UniversityHolland Bloorview Kids Rehabilitation Hospital
FundersCanadian Institutes of Health ResearchHolland Bloorview Kids Rehabilitation Hospital Foundation
KeywordsPsychologyGender studiesDevelopmental psychologySociologyVisual artsArt

Abstract

fetched live from OpenAlex

Transition to adult life can be a challenging time for disabled youth and their families. This article describes the collaborative creation of Transitions Theatre, a research-based reader’s theatre activity based on narrative interviews with eight disabled youth (aged 17–22) and seven parents. Analysis of these interviews generated two opposing yet interrelated themes. On one hand, youth and families felt lost in transition facing multiple gaps in healthcare, financial support, education, and opportunities for social participation after having “aged out” of the pediatric system. On the other hand, they started cripping “normal” adulthood to envision more inclusive futures wherein disabilities are understood as integral to society. These two themes were transformed into two reader’s theatre scripts, one featuring a youth, the other featuring a parent. Seven youth and four parents (six of them were original interview participants) then participated in a Transitions Theatre workshop to read the scripts together and discuss the authenticity and relatability of the scripts. Participant feedback suggested that the reader’s theatre method was effective in sharing findings with research participants and stimulating a critical dialogue on how to (re)imagine transition to adulthood. We discuss the importance of implementing inclusive design strategies to make reader’s theatre accessible to participants with diverse abilities and preferences.

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)0.039
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.246
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0390.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0060.005
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.004
Insufficient payload (model declined to judge)0.0020.000

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 head0.495
GPT teacher head0.566
Teacher spread0.071 · 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; both teacher heads agree on what is shown here.

Study designQualitative
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

Citations2
Published2022
Admission routes2
Has abstractyes

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