Mom, dad, meet my mate: An evolutionary perspective on the introduction of parents and mates
Bibliographic record
Abstract
Many studies focus on the role of parents in the selection of mates, with most showing that parents have influence, albeit variable, in this process. Within Western societies, individuals often present a potential mate to their parents. This meeting represents a turning point, signifying that one is serious about the potential mate becoming a long-term, committed partner. Although this introduction of parents and possible mate is important, there has been no prior investigation into its timing, or specific reasons (other than signifying commitment) why an individual would want to orchestrate the meeting. Using an evolutionary psychology framework, we hypothesized that individuals are motivated to bring home their mates in order to seek parental feedback and approval, as well as indicate to their mate that they are serious about the relationship. We also hypothesized individuals want to meet their new partner’s parents for insight into how their potential mate will look when older, their future health, and potential familial resources that will be available. Our findings generally supported our predictions. We also examined the influence of attachment style and birth order on the timing of the introduction, but found minimal influence for these factors.
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".