Why do people watch pornography? The motivational basis of pornography use.
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.
Bibliographic record
Abstract
₃) yielded strong psychometric properties. Further corroborating the structural validity of the Pornography Use Motivations Scale (PUMS), gender-based measurement invariance was tested, and associations of the frequency of pornography use (FPU), problematic pornography use (PPU), and PUM were examined. Men-compared to women-demonstrated higher scores on all motivations except for sexual curiosity and self-exploration. Based on the results of SEM, we found that sexual pleasure, boredom avoidance, and stress reduction motivations showed positive, weak-to-moderate associations with FPU. Motivations relating to stress reduction, emotional distraction or suppression, boredom avoidance, fantasy, and sexual pleasure had positive, weak-to-moderate associations with PPU. The PUMS is a reliable scale to assess the most common PUM in general populations. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 it