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Record W2334493793 · doi:10.18740/s45c87

Creative Socialist-feminist Space: Creating Moments of Agency and Emancipation by Storytelling Outlawed Experiences and Relational Aesthetic

2016· article· en· W2334493793 on OpenAlexaffvenueabout
Nadine Changfoot

Bibliographic record

VenueSocialist studies · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsTrent University
Fundersnot available
KeywordsSociologyAgency (philosophy)StorytellingEmancipationPoliticsAestheticsReflexivityCitizenshipPower (physics)Gender studiesSocial sciencePolitical scienceArtLawLiterature

Abstract

fetched live from OpenAlex

This article argues that creative socialist-feminist spaces, where art-based knowledge is created, can provide opportunities for creating new knowledge with emancipatory moments for those who are marginalized and have had marginalizing experiences. In so doing, commodified existence (Hennessey 2002) becomes disrupted through the emergence of new knowledge entwined with emotion. The outcome of this kind of endeavor includes transformational knowledge of self, relations of power, and a vision of alternative possibilities in relation to that knowledge. A relational aesthetic emerges where meaning for political change is co-created through the exploration of personal experience using an arts-based medium that itself creates community and political vision. These claims are made based on personal experience creating a digital-story (short 3-4 minute self-reflexive film) exploring the first memories of having a racialized body constituted by racist slurs and from a discourse that disidentifies one from Canadian citizenship and belonging.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.009
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0090.033
Scholarly communication0.0090.006
Open science0.0010.010
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.001

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 head0.447
GPT teacher head0.588
Teacher spread0.141 · 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 source (direct Gemma or distilled Codex), 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

Citations5
Published2016
Admission routes3
Has abstractyes

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