The Development of Pro-Environmentalism in Context
Bibliographic record
Abstract
Global warming has become an existential concern for our own and the planet’s future. As developmental psychologists, the authors are interested in pro-environmental behavior at the individual level, believing that the societal changes needed to address this issue require changes at the individual level. In this chapter, the authors frame environmental issues as moral issues to the extent that how people think about, react to, and interact in the environment reflect moral values such as caring. Consequently, the authors explore how people’s moral attitudes, thinking, emotions, and behavior around environmental issues form and change over the course of development. They also investigate how developing experiences with the natural environment can influence its importance to the self and in identity formation. Finally, the authors consider that cultural context matters; that attitudes and behaviors toward the environment and how they develop depend on the culture in which we are raised and that what we currently know about the development of environmentalism in not likely to extend much beyond mainstream cultures in Western, industrialized countries.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.021 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".