The role of impaired control in screening problematic pornography use: Evidence from cross-sectional and longitudinal studies in a large help-seeking male sample.
Bibliographic record
Abstract
= 2,576; 29.1%). The self-perceived PPU group was characterized by the highest moral incongruence, but not objectively dysregulated in pornography use. The other two groups met the criteria of impaired control, suggesting that, impaired control may distinguish between self-perceived PPU and dysregulated use in help-seeking men. Six months later, self-reported data were collected again from 972 of these help-seeking men. The longitudinal cross-lagged analysis showed that impaired control at baseline positively predicted PPU at the 6-month follow-up; simultaneously, the reverse association was also significant and positive. In sum, impaired control functioned as a criterion to differentiate between self-perceived PPU and dysregulated pornography use. Impaired control might be used as a robust and reliable predictor of PPU, but it may not be a sufficient criterion of PPU in itself. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".