Altruism as a courtship display: Some effects of third‐party generosity on audience perceptions
Bibliographic record
Abstract
Public generosity may be a means to convincingly advertise one's good character. This hypothesis suggests that altruistic individuals will be desirable as romantic partners. Few studies have tested this prediction, and these showed mixed results. Some studies have found that altruism is not particularly attractive; other studies showed that altruism is attractive by contrasting descriptions of 'nice guys' with 'jerks'. The present study sought to resolve this debate by having participants read a series of experimentally manipulated vignettes of persons with corresponding photographs, such that altruistic vignettes were compared with control descriptions that differed only in the presence or absence of small hints of altruistic tendencies. Altruists were more desirable for long-term relationships than neutral individuals. Women also preferred altruists for single dates whereas men had no such preference. These results are discussed with regard to the idea that people (males in particular) signal their good character via generosity.
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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 | 0.001 | 0.008 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".