MétaCan
Menu
Back to cohort
Record W2156678150 · doi:10.1177/10778010122182893

The Oppression of Women in India

2001· article· en· W2156678150 on OpenAlex
PAMELA S. JOHNSON, Jennifer A. Johnson

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.

Bibliographic record

VenueViolence Against Women · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicPolitics and Conflicts in Afghanistan, Pakistan, and Middle East
Canadian institutionsUniversity of TorontoThe Scarborough HospitalUniversity of Ottawa
Fundersnot available
KeywordsDowryOppressionPatriarchyGlobeDomestic violenceMarital statusGender studiesSocioeconomicsPoison controlPolitical scienceCriminologySociologySuicide preventionEconomic growthMedicinePopulationDemographyMedical emergencyEconomicsLaw

Abstract

fetched live from OpenAlex

In India, as in all countries around the globe, violence against women occurs daily. Patriarchy plays a role in this violence. For some Indian women, the possibility of violence occurs throughout their lives, especially with changes in marital status. This article discusses several fatal forms of violence that some of the women in India experience. Included in this discussion of violence are the role of women's status, dowry, and the influence of Western capitalism. It is concluded that to combat violence against women, it is imperative that people work toward a global village where women are viewed as equal and valuable partners in society.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.935
Threshold uncertainty score0.315

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.012
GPT teacher head0.282
Teacher spread0.270 · 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