“Find a Place Where You Can Be a Part of the Change”: A Thematic Analysis of the Conditions that Influence Direct, Collective Pro-Environmental Activism
Bibliographic record
Abstract
The harmful impacts of climate change are becoming increasingly apparent across many aspects of society, and pro-environmental collective activism may help slow its progression. While previous research underscores several factors that shape participation in pro-environmental collective activism, much of this research is informed by quantitative data. This study used qualitative methods to investigate the conditions that shape participation in collective pro-environmental activism. This study drew on four in-depth interviews with climate activists recently engaged in direct action. Data were analyzed using reflexive thematic analysis. Three themes are presented: (a) Tangible and local instances of environmental and social injustices encourage people to act on existing environmental and political values; (b) Activists are motivated to participate in collective activism by a need to belong; (c) A sense of hopeful group efficacy counteracts negative affect about the climate crisis. These findings demonstrate the interactive nature of the conditions that support proenvironmental activism
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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 | 0.012 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.008 | 0.011 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| 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".