The Need to Act: Incest as a Crime Given Low Priority—A View with India as an Example
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.004 | 0.012 |
| Scholarly communication | 0.007 | 0.009 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.005 | 0.009 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".