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Record W3155258623 · doi:10.3390/socsci10040142

The Need to Act: Incest as a Crime Given Low Priority—A View with India as an Example

2021· article· en· W3155258623 on OpenAlexaff
Peter Choate, Radha Sharan

Bibliographic record

VenueSocial Sciences · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsMount Royal University
Fundersnot available
KeywordsMoresKinshipCriminologySociologyPsychologyPolitical scienceLawPolitics

Abstract

fetched live from OpenAlex

Background: Incest is a form of sexual activity that occurs within family or kinship systems. It is prohibited by religion and law in most countries as well as by social mores or taboos. Data from various parts of the world indicate, however, that it appears to be a relatively common event, although there is reason to believe that the actual frequency is unknown. Most available data focus upon children as victims, although we note that incest also occurs between adult family members. Methods: A systematic review was performed using PRISMA guidelines. With a focus upon India, the search tools of Academic Search Complete, Google Scholar and PUBMED were used to identify articles that legally defined incest; frequency; barriers to disclosure; the dynamics of incest and social norms. Results: The available data were very limited, making a systematic review unachievable within the narrow confines of incest. Conclusions: The literature is sparse. This led to a discussion of definitional issues; barriers to disclosure; and challenges with measuring the problem of incest and the impact of social norms. Questions of law and efforts at reform were also considered. The article considers what steps might be appropriate.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.646
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0060.002
Scholarly communication0.0010.001
Open science0.0010.000
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 head0.053
GPT teacher head0.372
Teacher spread0.319 · 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.

Study designTheoretical or conceptual
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

Citations7
Published2021
Admission routes1
Has abstractyes

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