Testosterone at your fingertips: Digit ratios (2D:4D and <i>rel</i>2) as predictors of courtship‐related consumption intended to acquire and retain mates
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
Abstract While hormones have been shown to impact a wide range of behaviors, little is known regarding their influence on consumer behavior. The current research examines the association between digit ratios and courtship‐related consumption. Digit ratios (2D:4D and rel 2) are indicators of prenatal testosterone exposure and are assessed by measuring finger length. In Study 1, masculinized digit ratios (low digit ratios, high prenatal testosterone) in men were associated with greater courtship‐related consumption to acquire mates, and this association was stronger for men with high mating confidence. In women, feminized digit ratios (high digit ratios, low prenatal testosterone) were associated with greater courtship‐related consumption to acquire mates. In Study 2, men with masculinized digit ratios engaged in greater courtship‐related consumption by offering romantic gifts as a means of retaining mates. In women, feminized digit ratios were associated with greater romantic gift giving. Our findings suggest that high prenatal testosterone in men leads to greater courtship‐related consumption, whereas low prenatal testosterone leads to greater courtship‐related consumption in women.
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) | 0.000 | 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) | 0.000 | 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