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Record W2180079230 · doi:10.5539/gjhs.v8n7p152

Virginity Testing Beyond a Medical Examination

2015· article· en· W2180079230 on OpenAlexvenueno aff
Mehri Robatjazi, Masoumeh Simbar, Fatemeh Nahidi, Jaber Gharehdaghi, Mohammad Ali Emamhadi, Abou-Ali Vedadhir, Hamid Alavi Majd

Bibliographic record

VenueGlobal Journal of Health Science · 2015
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Contraception
Canadian institutionsnot available
FundersShahid Beheshti University of Medical Sciences
KeywordsVirginity testMedicinePsychologyPsychoanalysis

Abstract

fetched live from OpenAlex

Apart from religious values, virginity is important in different communities because of its prominent role in reducing sexually transmitted diseases and teen pregnancies. Even though virginity testing has been proclaimed an example of violence against women by the World Health Organization, it is still conducted in many countries, including Iran. 16 in-depth, semi-structured interviews were conducted with participants aged 32 to 60 years to elucidate the perceptions and experiences of Iranian examiners of virginity testing.The perception and experience of examiners were reflected in five main themes. The result of this study indicated that virginity testing is more than a medical examination, considering the cultural factors involved and its overt and covert consequences. In Iran, testing is performed for both formal and informal reasons, and examiners view such testing with ambiguity about the accuracy and certainty of the diagnosis and uncertainty about ethics and reproductive rights. Examiners are affected by the overt and covert consequences of virginity testing, beliefs and cultural values underlying virginity testing, and informal and formal reasons for virginity testing.

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)0.011
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.763
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.081
GPT teacher head0.406
Teacher spread0.325 · 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 designObservational
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

Citations30
Published2015
Admission routes1
Has abstractyes

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