Characterizing public perceptions of social and cultural impacts in policy decisions
Bibliographic record
Abstract
Social scientists and community advocates have expressed concerns that many social and cultural impacts important to citizens are given insufficient weight by decision makers in public policy decision-making. In two large cross-sectional surveys, we examined public perceptions of a range of social, cultural, health, economic, and environmental impacts. Findings suggest that valued impacts are perceived through an initial lens that highlights both tangibility (how difficult it is to understand, observe, and make changes to an impact) and scope (how broadly an impact applies). Valued impacts thought to be less tangible and narrower in scope were perceived to have less support by both decision makers and the public. Nearly every valued impact was perceived to have more support from the public than from decision makers, with the exception of three economic considerations (revenues, profits, and costs). The results also demonstrate that many valued impacts do not fit neatly into the single-category distinctions typically used as part of impact assessments and cost-benefit analyses. We provide recommendations for practitioners and suggest ways that these results can foster improvements to the quality and defensibility of risk and impact assessments.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".