Conscious Regulation of Sexual Arousal in Men
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
The goals of this study were to examine the effectiveness of emotional reappraisal in regulating male sexual arousal and to investigate a set of variables theoretically linked to sexual arousal regulation success. Participants first completed a series of online sexuality questionnaires. Subsequently, they were assessed for their success in regulating sexual arousal in the laboratory. Results showed that the ability to regulate emotion may cross emotional domains; those men best able to regulate sexual arousal were also the most skilled at regulating their level of amusement to humorous stimuli. Participants, on average, were somewhat able to regulate their physiological and cognitive sexual arousal, although there was a wide range of regulation success. Whereas some men were very adept at regulating their sexual arousal, others became more sexually aroused while trying to regulate. Age, sexual experience, and sexual compulsivity were unrelated to sexual arousal regulation. Conversely, sexual excitation, inhibition, and desire correlated with sexual arousal regulation success. Increased sexual excitation and desire were associated with poorer regulatory performance, whereas a propensity for sexual inhibition due to fear of performance consequences was related to regulatory success.
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 | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it