Public environmental skepticism: A cross-national and multilevel analysis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Environmental skepticism, defined as doubt about the authenticity or severity of environmental degradation, is common among the general public. This study attempts to identify its social bases, using a large and recent (2010) dataset that covers 45,119 individuals from 32 countries. Using multilevel modeling, it explores both individual-level and country-level influences on public environmental skepticism. The results support four individual-level perspectives (knowledge deficit, cultural orientation, social trust, and competing priority) and their interplay. Environmental skepticism stems from insufficient education and self-assessed environmental knowledge, religious and conservative values, lack of trust in general society and science, and other concerns competing with environmental concern. Moreover, the skepticism-reducing effect of education and self-assessed knowledge is found to be contingent on individuals’ religiosity and political ideologies. Education and self-assessed knowledge are more effective in reducing skepticism among less religious individuals and left-leaning liberals than among religious people and right-leaning conservatives.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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 it