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Record W2736468518 · doi:10.36510/learnland.v10i2.811

Picturing (as) Resistance: Studying Resistance and Well-Being of Indigenous Girls and Young Women in Addressing Sexual Violence

2017· article· en· W2736468518 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueLEARNing Landscapes · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsMcGill University
FundersSocial Sciences and Humanities Research Council of CanadaInternational Development Research Centre
KeywordsIndigenousResistance (ecology)Sexual violenceGender studiesCitizen journalismRelation (database)SociologyParticipatory action researchThe artsPsychologyDevelopmental psychologyCriminologyPolitical scienceAnthropologyLaw

Abstract

fetched live from OpenAlex

The health and well-being of young people remains a critical issue. For Indigenous girls and young women in Canada and South Africa, the situation is exacerbated by high rates of sexual violence. The article draws on examples of artworks and close readings of several images of resistance produced by Indigenous girls and young women participating in a six-year study that seeks to address sexual violence in the two countries. Exploring resistance is an understudied area in relation to young people and well-being. Building on our visual research and fieldwork, we posit that the idea of “picturing (as) resistance” through the various participatory visual and arts-based tools is a promising area of investigation in relation to wellbeing.

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.

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)0.006
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.109
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
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 head0.142
GPT teacher head0.484
Teacher spread0.342 · 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