Traits and mates: The role of personality in intimate relationships
Bibliographic record
Abstract
In this review of personality and intimate relationships, we note that when people rank the traits of ideal partners, kindness and dependability are considered desirable. Romantic partners tend to show positive but weak similarity correlations for personality traits. In terms of the Big Five factors, low Neuroticism, and high Conscientiousness, Agreeableness, and Extraversion are associated with greater relationship satisfaction, whereas high Neuroticism and Openness, and low Agreeableness are associated with relationship dissatisfaction and dissolution. Perpetrators of Intimate Partner Violence tend to be high in Neuroticism, and low in Agreeableness and Conscientiousness. Future research should incorporate HEXACO personality variables to a greater extent. Research attention is needed to address the wide variety of romantic relationships that exist today (e.g., LGBTQIA+ relationships, consensual non-monogamy, long-distance).
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".