“Now I know I can make a difference”: Generativity and activity engagement as predictors of meaning making in adolescents and emerging adults.
Bibliographic record
Abstract
This study examined generativity (concern for future generations as a legacy of the self) and activity engagement as predictors of meaning making in young people's personal accounts of their key activity experiences. We elicited stories regarding events within participants' "most engaging activity," self-reports on generativity, and behavioral participation and psychological engagement in activities in 2 separate samples: an emerging adult sample and an adolescent sample. The stories were coded for meaning making, defined as degree of insight into individuals' understanding of themselves or the world (McLean & Pratt, 2006). Psychological engagement, but not behavioral participation, was positively associated with meaning making. Moreover, generativity was significantly and positively related to psychological engagement, and predicted meaning making, even after controlling for psychological engagement. Findings suggest that different types of activities can offer a potential context for fostering early generativity and meaning making, and that generativity in adolescence and emerging adulthood is related to the development of insight and meaning making.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| 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".