Dependents as signals of mate value in an online dating context
Bibliographic record
Abstract
Sexual strategies theory indicates that humans can adopt short-and long-term mating strategies, producing sex-and strategy-specific mating behaviours due to asymmetries in obligate parental investment into children.Consequently, demonstrating an ability and willingness to invest in a mate and offspring is highly desired under long-term mating contexts -especially by women.Investment may be financial and/or based on social status, as well as the ability to care for a mate and any resulting offspring.While male carers of dependents (i.e., pets and children) have typically been perceived as high-quality mates by women, no studies have examined how dependents are associated with short-and longterm mating strategies.I selected profiles from the online dating platform Plenty of Fish to test the predictions that men seeking a long-term mate will be more likely to display a dependent on their profile, and those who display a dependent will do so more frequently than men seeking short-term mates and women seeking long-term ones.The results show that men seeking long-term mates were more likely to show a dependent and did so more frequently when compared to men seeking short-term mates; however, men and women seeking a long-term mate displayed dependents in a similar fashion.These patterns were driven mainly by the displays of high-investment dependents (children and canines).These findings indicate that men adopting long-term mating strategies are more likely to advertise their investment capabilities compared to those seeking a short-term mate in a modern dating context, which may be used to signal their mate value.
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How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".