Emerging Adulthood: A Time of Changes in Psychosocial Well-Being
Bibliographic record
Abstract
The principal aim of this study was to investigate the psychosocial well-being of emerging adults using psychological states associated with this transitional phase and classic measures of emerging adulthood. We expected psychological states to be more closely associated with psychological well-being than classic markers of achieved adulthood. Data were collected in the Cohort Study on Substance Use Risk Factors from 4,991 Swiss men aged 18-25 years. The assessment included the Short Form of the Inventory of Dimensions of Emerging Adulthood (IDEA-8), classic markers of achieved adulthood (e.g., financial independence, stable relationship), and psychosocial well-being. Structural equation models (SEMs) were conducted to test the association between measures of emerging adulthood and psychosocial well-being. Overall, the results highlighted contrasting associations of measures of emerging adulthood and psychosocial well-being. Youths facing negative psychological states (dimension "negativity") and exploring life without knowing how to define themselves (dimension "identity exploration") had a decreased psychosocial well-being. On the contrary, youths exploring many opportunities with an optimistic perspective (dimension "experimentation") had an increased psychosocial well-being. By contrast, classic markers of adulthood were less related to psychosocial well-being. The IDEA-8 Scale appeared to be a useful screening tool for identifying vulnerable youths, and emerging adulthood should be measured with a focus on the psychological states associated with this period. This information may be valuable for mental health systems that have not yet adapted to emerging adults' needs.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".