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
Attempts by researchers and policy-makers to address the ‘wicked’ issues which pervade environmental policy usually revolve around attempting – or recommending – both more participatory and transparent, and more systematic and evidence-based, policy-making. Post-normal science (PNS), with its ‘extended peer community’, has emerged as one approach, whilst others focus on procedural reforms of the policy process, particularly on enhancing democratic decision-making. This paper applies a novel analytical framework to a primarily documentary analysis of three cases we argue are wicked—Canadian regulatory review of health products and food, European union (EU) environmental thematic strategies, and United Kingdom (UK) energy and climate change policy. It explores how various responses to wicked issues are implemented, through the ‘lenses’ of PNS and, more generally, ‘democratic and effective decision-making’. It finds such responses are often limited by practical and fundamental barriers relating to handling of uncertainty, issue framing, participation, power, politics, and attitude to evidence. We draw conclusions about future research on PNS, particularly the need to more clearly relate theory to different strands of literature on the evidence–policy-making relationship, and to continue empirical testing.
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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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