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Record W4282046474 · doi:10.1177/10778004221099567

Engagement, Authenticity, and Advocacy in “Youth Uncensored”: Ethics in Applied Theater Research With Street-Involved Youth

2022· article· en· W4282046474 on OpenAlexaff
Diane Conrad

Bibliographic record

VenueQualitative Inquiry · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsRehearsingYouth engagementPositive Youth DevelopmentPublic relationsService providerSociologyService (business)NegotiationService-learningYouth studiesReading (process)PsychologyPolitical sciencePedagogyBusinessVisual artsGender studiesMarketing

Abstract

fetched live from OpenAlex

“Youth Uncensored” was an applied theater project with youth affiliated with an arts-based, nonprofit organization serving street-involved youth. The organization identified the need to educate service providers about the youth’s experiences to better meet youth’s needs. The youth were involved in all aspects of the process of creating workshops for service providers, from generating content for our scenes to devising, rehearsing, and performing scenes for service provider audiences, and participating in forum theater activations, in talk-back sessions, and in evaluating the project. For an evaluation of outcomes for youth, the youth created a 30-min video exploring the projects’ benefits and challenges. Through a close reading of the video, this article addresses the ethical issues that arose in relation to engagement, authenticity, and advocacy. Our ongoing efforts at negotiating this ethical terrain were crucial for the endurance and efficacy of the project.

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)0.081
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.076
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0810.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.003
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 head0.891
GPT teacher head0.690
Teacher spread0.201 · 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 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

Citations1
Published2022
Admission routes1
Has abstractyes

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