The developmental origins and future implications of dispositional optimism in the transition to adulthood
Bibliographic record
Abstract
Despite the robust link between dispositional optimism and well-being across the lifespan, the developmental origins of dispositional optimism are unknown. Understanding the pathways that lead to greater optimism during the transition from adolescence into young adulthood may be important given that this stage of the life course involves the navigation of multiple simultaneous psychosocial demands. Maternal attachment security may contribute to greater optimism by promoting perceptions of internal control. Participants were 218 European American children (98 females; 120 males), who completed self-report measures across four waves. A path analysis tested the associations between maternal attachment security (ages 10 and 14), locus of control (age 14), dispositional optimism (ages 18 and 23), and psychological well-being (age 23). Tests of indirect effects showed that greater perceptions of internal control at age 14 mediated the association between age 10 maternal attachment security and age 18 dispositional optimism. Age 18 dispositional optimism mediated associations between age 14 internal control and age 23 psychological well-being. Maternal attachment security may promote dispositional optimism through a greater internal locus of control in adolescence. Given that optimism promotes well-being throughout the lifespan, identifying the pathways through which optimism develops may contribute to understanding how to promote well-being.
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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 | 0.002 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".