Organized activities in adolescence and pro‐environmental behaviors in adulthood: The mediating role of pro‐environmental attitudes
Bibliographic record
Abstract
INTRODUCTION: Organized activities practiced in adolescence are known to foster positive development, including active citizenship. Active citizenship encompasses a wide range of behaviors, one of them being pro-environmental behaviors. Few studies focused on the developmental factors that may predict these behaviors in adults, despite their crucial role in counteracting the current climate crisis. However, prior research showed that attitudes were typically major predictors of behaviors. This study thus tested a model that posited participation in organized activities in adolescence as a predictor of pro-environmental attitudes in emerging adulthood and these attitudes as a predictor of pro-environmental behaviors in adulthood. METHODS: Three hundred twenty-one participants (61% girls) from Quebec (Canada) completed all time points across a 17-year period. Participants self-reported their participation in organized activities (sports, cultural, prosocial) from ages 14 to 17, pro-environmental attitudes, from ages 18 to 22, and pro-environmental behaviors, at age 30. RESULTS: Results revealed that pro-environmental attitudes mediate the relationship between adolescent participation in cultural activities and pro-environmental behaviors in adulthood. Practicing sporting or prosocial activities in adolescence did not predict stronger pro-environmental attitudes or behaviors. Interestingly, pro-environmental attitudes consistently predicted pro-environmental behaviors later in life. CONCLUSIONS: These findings and prior research suggest that participation in cultural activities may provide a space to discuss, imagine change, and cultivate sensitivity towards nature. This may contribute to the development of pro-environmental attitudes and behaviors later in life.
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 | 0.001 |
| 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 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".