Analytical Paradigms: The Epistemological Distances between Scientists, Policy Makers, and the Public
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
The effective use of evidence and its resultant knowledge is increasingly recognized as critical in risk analysis. This, in turn, has led to a growing concern over issues of epistemology in risk communication, and, in particular, interest in how knowledge is constructed and employed by the key players in risk--scientists, policy makers, and the public. This article uses a critical theoretical approach to explore how evidence is recognized and validated, and how limits are placed on knowledge by scientists, policy makers, and the public. It brings together developments in the sociology of science, policy and policy development, public understandings of science, and risk communication and analysis to explicate the differing forms of rationality employed by each group. The work concludes that each group employs different, although equally legitimate, forms of rationality when evaluating evidence and generating knowledge around risky environment and health issues. Scientists, policy makers, and the public employ scientific, political, and social rationality, respectively. These differing forms of rationality reflect underlying epistemological distances from which can develop considerable misunderstandings and misinterpretations.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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 it