The codevelopment of community involvement and generative concern pathways in emerging and young adulthood.
Bibliographic record
Abstract
In this longitudinal Canadian study, we investigated the relationship between the developmental trajectories of community involvement and generative concern measured at ages 23, 26, and 32. Participants completed a questionnaire on youth involvement, the Youth Involvement Inventory (YII), and the Loyola Generativity Scale (LGS) at all 3 ages. A latent growth model (LGM) of community involvement predicting time-specific variance in the LGS revealed that: (a) higher levels of community involvement at age 23 predicted greater generative concern at ages 23 and 26, but not at age 32; (b) there were 3 specific indirect paths linking age 23 community involvement to age 32 generativity through earlier assessments of age 23 and age 26 generative concern; and finally (c) a more positive slope of community involvement over time predicted higher levels of generative concern at age 32. These findings suggest that early involvement in community commitments, and increases in community involvement across emerging adulthood, may lead individuals down a path toward a more generative personality in young adulthood. (PsycINFO Database Record
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".