Exploring Perceptions of Credible Science Among Policy Stakeholder Groups
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
How do different stakeholder groups define credible science? Using original qualitative focus group data, this exploratory study suggests that while nuclear energy stakeholder groups consider the same factors when assessing credibility (specifically, knowledge source, research funding, research methods, publication, and replication), groups differ in their assessments of what constitutes expertise, what demonstrates (or reduces) trustworthiness, and the relative prioritization of expertise versus trustworthiness. Overall, these results suggest it is important for science communication to consider audience-specific credibility, and raise questions about the potential impact of both funding sources and predatory journals on the perceived credibility of scientists.
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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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.003 | 0.013 |
| Scholarly communication | 0.000 | 0.004 |
| Open science | 0.003 | 0.001 |
| 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 it