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Record W2897150988 · doi:10.36510/learnland.v10i1.737

Using the Visual to Address Gender-Based Violence in Rural South Africa: Ethical Considerations

2016· article· en· W2897150988 on OpenAlex
Astrid Treffry-Goatley, Lisa Wiebesiek, Relebohile Moletsane

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.

fundA Canadian funder is recorded on the work.
venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueLEARNing Landscapes · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsnot available
FundersLondon School of Hygiene and Tropical MedicineSocial Sciences and Humanities Research Council of CanadaInternational Development Research CentreUnited Nations Population FundUNICEF
KeywordsVulnerability (computing)IndigenousContext (archaeology)Participatory action researchHarmVisual researchPhotovoiceCitizen journalismPolitical sciencePopulationResource (disambiguation)CriminologySocioeconomicsGeographyGender studiesSociologyEconomic growthComputer securityLawDemography

Abstract

fetched live from OpenAlex

Violence against women and girls (VAW) is a critical issue of global importance. Research suggests that indigenous girls and young women from resource-poor, rural communities are particularly susceptible to VAW and yet, few studies directly target this vulnerable population group due to ethical considerations. We present some emerging ndings from rural KwaZulu-Natal, South Africa, where we are using participatory visual research with girls and young women to investigate VAW in this context. Our results suggest while ethical issues may arise in the application of participatory visual tools in contexts of vulnerability, it is still possible to proceed without harm and to gain pertinent insight into this important issue.

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)0.004
metaresearch head score (Gemma)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.219
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.469
GPT teacher head0.564
Teacher spread0.095 · 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