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Record W4362519429 · doi:10.26522/ssj.v17i2.2722

Dance as Revolution: Exploring Prisoner Agency Through Arts-based Methods

2023· article· en· W4362519429 on OpenAlexaffvenueabout
Katharine Dunbar Winsor, Amy Sheppard

Bibliographic record

VenueStudies in Social Justice · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsMemorial University of NewfoundlandConcordia University
Fundersnot available
KeywordsPrisonAgency (philosophy)DanceSociologyThe artsCriminologyGender studiesIdentity (music)Power (physics)Sense of agencySocial psychologyPsychologyPolitical scienceAestheticsLawSocial scienceVisual arts

Abstract

fetched live from OpenAlex

Carceral spaces such as prisons are designed to restrict freedoms and keep inhabitants confined and under surveillance through various mechanisms. As a result, prisons are spaces where movement is restricted through confinement, while prisoners’ ability to move is conflated with freedom. We aim to move beyond this dichotomy and consider a complex rethinking of the body in criminological theory and practice through dance in carceral space. In doing so, we explore under what conditions movement represents agentic practices. Understanding these nuances requires an interrogation of prisoner agency, including prisoners’ subtle maneuverability of power dynamics within the prison. We explore these dynamics using feminist and arts-based methods, specifically dance workshops delivered to twenty participants incarcerated in a Canadian provincial women’s prison. We find that movement and expression in prison may create moments of agentic freedom for incarcerated women under certain conditions. We argue that more nuanced understandings of incarcerated women’s agency can be found in their daily negotiations of time and space, and movement can provide numerous meanings. Our findings suggest arts-based approaches within prison environments create opportunities for women to express their identity and sexuality through movement in ways otherwise not permitted in prison. For many incarcerated women in this study, this sense of freedom may be associated with the ability to focus and take care of themselves while confined.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.291
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0030.001
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 head0.407
GPT teacher head0.553
Teacher spread0.146 · 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

Citations3
Published2023
Admission routes3
Has abstractyes

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