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Record W3161107515 · doi:10.26522/ssj.v15i3.2340

Ethical Dilemmas in Resistance Art Workshops with Youth

2021· article· en· W3161107515 on OpenAlexafffundvenue
Chloé S. Georas, Jane Bailey, Valerie Steeves

Bibliographic record

VenueStudies in Social Justice · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Media and Politics
Canadian institutionsUniversity of Ottawa
FundersSocial Sciences and Humanities Research Council of CanadaUniversity of Ottawa
KeywordsAppropriationResistance (ecology)SociologyEconomic JusticePublic relationsLiteracySocial justicePolitical scienceLawCriminologyPedagogyEpistemology

Abstract

fetched live from OpenAlex

In 2017 and 2018 [Name of research project] organized two transnational youth resistance art workshops. These workshops addressed online social justice issues and placed emphasis on pushing back against technology-facilitated violence and surveillance in networked spaces. Our engagement with these workshops raised three dilemmas associated with these sorts of resistive social justice art projects. This article explores these dilemmas, which include how to enable the production of digital art in a manner that is attentive to intersectional issues of digital literacy and access; artistic appropriations of sexually explicit, discriminatory or hateful speech and their relation to cultural appropriation; and defamation, privacy, copyright and trademark considerations relating to artistic appropriations. In addressing these dilemmas, examples of regulatory frameworks shaping resistance opportunities and social justice initiatives are highlighted, along with suggestions for addressing these dilemmas for those who may wish to facilitate or engage in youth resistance art workshops in future.

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)0.001
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.538
Threshold uncertainty score0.968

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
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 head0.103
GPT teacher head0.413
Teacher spread0.310 · 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 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

Citations0
Published2021
Admission routes3
Has abstractyes

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