Why Do You Want a Romantic Relationship? Individual Differences in Motives for Romantic Relationship Pursuit
Bibliographic record
Abstract
Relationship science currently lacks a theoretical approach to capture the variety of motivations potentially underlying the pursuit of romantic relationships. We introduce the Autonomous Motivation for Romantic Pursuit Scale (AMRPS) which conceptualizes and measures motivations ranging in levels of autonomy (from a motivation to intrinsic motivation), based on self-determination theory (SDT). In Study 1 ( N = 1,280), we show how the motivations assessed using AMRPS relate to existing constructs implicated in romantic pursuit (e.g. fear of being single, commitment readiness), thereby organizing them into a coherent theoretical framework. In Study 2 ( N = 3,186), we validate this approach using longitudinal data, showing singles who are higher in autonomous motivation for relationship pursuit are more likely to be partnered six months later. These studies demonstrate the usefulness of SDT for consolidating into one theoretical and measurement framework the variety of motivations (including an absence of motivation) for pursuing romantic relationships.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".