Imagining a Sustainable World: Measuring Cognitive Alternatives to the Environmental Status Quo
Bibliographic record
Abstract
We build on social identity models of environmental collective action by considering the role ofpeople’s access to cognitive alternatives to the environmental status quo. We developed a new measure of cognitive alternatives to the environmental status quo, and examined its ability to predict environmental activist identification and willingness to engage in environmental activism. In Study 1 (N = 386), we developed the initial scale, and found evidence for its reliability and validity. The ability to imagine cognitive alternatives was associated with other relevant social identity and environmental variables including perceived legitimacy of the current environmental status quo, pro-environmental consumer and activist behavior, and beliefs in anthropogenic climate change. In Study 2 (N = 393), we confirmed the factor structure of the scale and found that it was a strong predictor of environmental activist identification, explaining variance beyond extensive control variables including identification with nature. It also explained additional variance in willingness to engage in activist behavior beyond even environmental activist identification. Our results suggest that the ability to imagine cognitive alternatives to the environmental status quo might have important implications for whether people engage in pro-environmental collection action to mitigate climate-change and other environmental problems.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".