The good, the bad, and the risky
Bibliographic record
Abstract
Social risk interacts with self-esteem to predict relationship-initiation motivation and behavior. However, because socially risky situations afford both rewards and costs, it is unclear which affordance is responsible for these effects. Two experiments primed social rewards or costs within different relationship-initiation contexts and then evaluated participants’ relationship-initiation motivation and behavior. Results revealed that global self-esteem regulates responses to both affordances. When social rewards were primed, lower self-esteem individuals (LSEs) exhibited stronger relationship-initiation motivation than higher self-esteem individuals (HSEs), whereas the reverse was true when social costs were primed. Furthermore, LSEs exhibited the strongest relationship-initiation motivation when rewards were primed, whereas HSEs exhibited the strongest relationship-initiation motivation and used more successful relationship-initiation behaviors when costs were primed. This pattern of results suggests a complex association between social affordances and self-esteem during relationship initiation that is not predicted or explained by current theoretical models and thus deserves further empirical attention.
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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 | 0.003 |
| 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) | 0.003 | 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".