Eco-habitus or Eco-powerlessness? Examining Environmental Concern across Social Class
Bibliographic record
Abstract
Recent evidence of an association between status and eco-friendly practices invites examination of environmental concern across social class. Analyzing interview data from 64 socioeconomically diverse residents of Washington state, we observe variation in orientation to the environment across social class. High-status participants embody an eco-habitus—a sense that being “green” is good and also achievable. Lower-status participants express “eco-powerlessness”—fear and uncertainty in the face of environmental issues and a sense that one’s daily actions have little bearing on broader issues. We suggest that, among our participants, existing measures of environmental concern capture variation in their alignment with high-status preferences for environmental actions and in self-evaluations of their role in mitigating environmental problems. Our research contributes to a more culturally nuanced understanding of environmental concern by using qualitative data to explicate the association between social class and perceived self-efficacy to enact socioecological change in an era of consumer-based solutions to ecological crises.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".