Connection to nature and environmental activism: Politicized environmental identity mediates a relationship between identification with nature and observed environmental activist behaviour
Bibliographic record
Abstract
We examined environmental activist behaviour as a function of two different forms of environmental identity: identification with nature (i.e., seeing oneself as part of nature, more often referred to as connectedness to nature) and politicized environmental identity (i.e., seeing oneself as a part of a collective struggle to protect the environment). We extend prior work that found politicized environmental identity mediates a relationship between identification with nature and self-reports of environmental activism (Schmitt, Mackay, et al., 2019) by using observed behavioural indicators of environmental activism: taking pro-environmental buttons (Study 1), donating to an environmental organization (Study 2), or writing pro-environmental letters to politicians (Study 3). In Study 2 the relationship between identification with nature and activist behaviour was fully mediated by politicized environmental identity. In Studies 1 and 3, politicized environmental identity partially mediated a relationship between identification with nature and observed activist behaviour. We estimated the mean effect size of the mediation pathways in all three studies using meta-analysis, which supported the mediation model.
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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 | 0.010 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.007 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".