Examining the Validity and Utility of Two New Measurement Devices in Sexual Psychophysiology Research
Bibliographic record
Abstract
Background: Female genital arousal is an important, yet difficult phenomenon to measure. The Laser Doppler Imager (LDI) and the Litmus Test Strip (LTS) are new measurement devices for assessing vulvar blood flow and vaginal lubrication, respectively. Given their recent development, few studies have used these measures, and further testing of their validity is needed. Using both devices concurrently provides an opportunity to demonstrate convergent validity (i.e., a significant, positive correlation) between these measures. Investigation of the utility of these devices—such as their sensitivity to varying intensity of sexual arousal—is also needed. Measures that can detect intensity of genital arousal allow researchers to study more complex questions than measures that only indicate the presence or absence of it. Method: Sexual arousal will be induced using erotic videos depicting foreplay and penile-vaginal intercourse. Vulvar blood flow and vaginal lubrication will be assessed using the LDI and the LTS. Participants will self-report their experience of sexual arousal. Hypotheses: I predict that: 1. Changes in vulvar blood flow (as measured by LDI) and vaginal lubrication (as measured by LTS) will be positively correlated with self-reported sexual arousal; 2. Changes in vulvar blood flow and vaginal lubrication will be positively correlated with each other; 3. Vulvar blood flow and vaginal lubrication will vary according to intensity of sexual response. Results: Data collection in progress. Results will be available at the time of the presentation. Implications: Further development of two new measurement devices for sexual psychophysiology research.
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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 | 0.102 | 0.192 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".