Autistic Traits and Purpose in Emerging Adulthood: Associations with Pathways to Purpose and Perceived Adult Status
Bibliographic record
Abstract
This study examined how two individual differences—autistic traits and sense of purpose—predict perceptions of purpose development and adult status. Participants ( N = 805, M age = 25.42 years) were surveyed via Qualtrics Panels. While sense of purpose positively correlated with each purpose pathway and perceived adult status, autistic traits negatively related to each outcome. We then tested the unique and interactive effects of autistic traits and sense of purpose on pathway endorsement and perceived adult status while controlling for age. Autistic traits negatively predicted proactive and reactive pathway endorsement, but did not appear to predict social learning pathway endorsement or perceived adult status. Sense of purpose continued to positively predict all outcomes and did not appear to modify the effect of autistic traits on any outcome. These findings are discussed with an eye toward future research, especially with regard to the apparent accessibility of the social learning pathway.
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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 | 0.001 | 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".