Egoistic value is positively associated with pro‐environmental attitude and behaviour when the environmental problems are psychologically close
Bibliographic record
Abstract
Egoistic value is conceptualized as anti-environmental in many environmental value theories, yet contradictory evidence exists for its relation with pro-environmental attitude and behaviour. To provide insights into these inconsistent findings, this research examined the moderating role of the psychological distance of environmental problems on their relationship. Across one cross-sectional survey study (1008 community participants from the United States) and one World Values Survey study (66,704 nationally representative participants from 46 countries/regions), results converged in showing that psychological distance of environmental problems (i.e. climate change and local pollution) moderated the relationship between egoistic value and pro-environmental attitude and behaviour. Their association became more positive as that psychological distance got closer. Different patterns were observed for altruistic and biospheric values. These findings highlight the potential pro-environmental utility of egoistic value and the importance of paying attention to contexts when theorizing its relation with pro-environmental attitude and behaviour.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".