Generative Concern and Environmentalism
Bibliographic record
Abstract
In a mixed-methods longitudinal study, we examined the relationship between Erikson’s construct of generativity, measured at ages 23 and 26, and environmentalism at age 32. Over a hundred Canadian youth completed a questionnaire that measured generative concerns. Environmentalism was assessed by questionnaires on involvement, identity, and attitudes, as well as through narratives about personal experiences with the environment. Narratives were coded for meaning, vividness, and impact of environmentalism. Stronger generative concern in emerging adulthood positively predicted environmentalism after controlling for liberal political orientation and benevolence values. Qualitative analyses of the environmental narrative of participants high in generative concerns revealed three themes that highlight the developmental process that ties generative concerns to environmentalism: (1) wanting to feel more empowered to help the environment, (2) the role of having children as a focus for crystallizing environmentalism, and (3) the passing on of specific family traditions from earlier generations. Environmentalism thus may be one important domain of expression for generative care in youth.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".