Bibliographic record
Abstract
Pornography‘ refers to sexually explicit media that are primarily intended to sexually arouse the audience‘. Pornography representation of sexual behavior in books, pictures, statues, motion pictures, and other media that is intended to cause sexual excitement. Pornography can be the main source of a young person's sex education. Pornography In many historical societies, frank depictions of sexual behavior, often in a religious context, were common. In the 19th century, the inventions of photography and later motion pictures were quickly put to use in the production of pornography. 21st century there were some four million Web sites devoted to pornography, containing more than a quarter of a billion pages—in other words, more than 10 percent of the Web. Pornography may impact on young people‘s adoption of certain sexual behaviours. It is possible that viewing non-mainstream sexual practices can give legitimacy to them, and encourage participation in sexually adventurous behaviors (e.g. heterosexual anal sex). Correlations between adolescent viewing of sexual media and sexual behavior are moderated by parental involvement, including such factors as discussions of television content, communication patterns, and home environments. Pornography as distress (for younger children): Premature or inadvertent exposure to sexually explicit content may be distressing for younger children. First, research on children‘s consumption of sexual content in mainstream media documents that its effects are moderated by such variables as age, gender, sexual experience, physical maturation, and parental involvement.
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 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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".