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Record W2398623406

“If it is a tear let it be a tear, not a laceration” : form J88 as evidence in prosecution of violence against women in South Africa

2015· article· en· W2398623406 on OpenAlexaff
Ramadimetja Shirley Mogale, Kaysi Eastlick Kushner, Magdalena S. Richter

Bibliographic record

VenueUpSpace Institutional Repository (University of Pretoria) · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicQualitative Research Methods and Ethics
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPrima facieDocumentationRules of evidenceRecallSuicide preventionLawPsychologyHuman factors and ergonomicsPoison controlPolitical scienceMedicineMedical emergencyComputer science
DOInot available

Abstract

fetched live from OpenAlex

The availability of the J88 form in court is believed to convey the precise clinical description of
\nthe woman’s injuries as it is seen as prima facie evidence. This article reports how the J88 form
\nis used in prosecution of violence against women (VAW). A four-phased sensory ethnographic
\ndesign that used courtscapes, participants’ observation, document analysis and conversations
\nwith prosecutors and court personnel to generate data was employed. In this paper the focus will
\nbe on findings from conversations and reviews of relevant documents. The findings indicate that,
\nregardless of J88 being legally endorsed as prima facie and standalone evidence, some trials of
\nVAW cases continue without it. Most importantly, J88 forms presented for evidence are usually
\n‘silent’ as they don’t have any impact on prosecution of VAW. In some VAW cases, the J88 forms
\nare viewed as recall for a victim’s condition. We recommend a synergistic approach that is transdisciplinary
\nin nature in documentation of J88 forms. Such documentation will advance the legal
\nand health practices.

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)0.006
metaresearch head score (Gemma)0.004
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: Empirical
Teacher disagreement score0.082
Threshold uncertainty score0.808

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
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 head0.186
GPT teacher head0.400
Teacher spread0.214 · 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
Published2015
Admission routes1
Has abstractyes

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