Bibliographic record
Abstract
Androphilic (sexually attracted to men) women demonstrate genital and self-reported arousal to sexual stimuli of both their preferred and non-preferred genders - a “gender-nonspecific” sexual response (e.g., Chivers et al, 2007). One hypothesis for female non-specific arousal patterns is intrasexual competition (the rivalry among the same sex for mates). Previously intrasexual competition has been operationalized as the level of jealousy a woman feels towards another woman. Intrasexual competition has been found to increase attentional adhesion to same sex stimuli (Maner, Gilliot & Roudy, 2007) The Information Processing Model (IPM; Janssen et al, 2000) posits that visual attention to sexual cues may result in a sexual response. Longer viewing times to same sex stimuli motivated by intrasexual competition (Maner et al., 2007) could therefore lead to an increase in self-reported arousal to non-preferred stimuli. This study explores the relationship between traits associated with intrasexual competition and sexual responding (visual attention and self-reported sexual arousal). Androphilic women are exposed to sexual stimuli varying by gender (preferred, non-preferred) and physical attractiveness level (attractive, unattractive). Visual attention is measured using an eye tracker and sexual arousal is assessed by participant self-report. Intrasexual competition is operationalized through measures of self-reported jealousy, anger, indirect aggression, and body image. I predict the participants will exhibit greater intrasexual competition after viewing images of attractive women compared to images of unattractive women and men. I also explore visual attention as a mediator between intrasexual competition and self-reported sexual arousal. Data collection for this project is currently underway. Chivers, M. L., Seto, M. C., & Blanchard, R. (2007). Gender and sexual orientation differences in sexual response to sexual activities versus gender of actors in sexual films. Journal of personality and social psychology, 93(6), 1108. http://dx.doi.org/10.1037/0022-3514.93.6.1108 Janssen, E., Everaerd, W., Spiering, M., & Janssen, J. (2000). Automatic processes and the appraisal of sexual stimuli: Toward an information processing model of sexual arousal. Journal of Sex Research, 37(1), 8–23. https://doi.org/10.1080/00224490009552016 Maner, J. K., Gailliot, M. T., Rouby, A., & Miller, S. (2007). Can’t Take My Eyes Off You: Attentional Adhesion to Mates and Rivals. Journal of Personality and Social Psychology, 93(3), 389–401. https://doi.org/http://dx.doi.org/10.1037/0022-3514.93.3.389
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".