Time, timing and narrative at the interface between UK technoscience and policy
Bibliographic record
Abstract
Questions of timing, phasing and sequence have been central to recent critiques of science policy-making, which have highlighted sustained disjunctures between the relevance and importance given to different stakeholders at different moments in the policy-making process. In this paper we expand upon this recent ‘upstream/downstream’ literature through a case study analysis of xenotransplantation (XTP), one of the defining controversies of 1990s UK biotechnology regulation. Drawing on insights from the sociology of expectations we trace the emergence of a UK policy narrative concerning the future of XTP and explore how the policy role became narrowly defined as a process of ‘reflex regulation’, based upon technologically determinist assumptions and producing extremely short-term decision-making. We draw attention to the concrete costs of this delineation of the policy role and reveal that it is neither inevitable or necessary, by considering contrasts between the policy temporalities of the UK, Canada and the Netherlands.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.028 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.007 | 0.034 |
| Scholarly communication | 0.018 | 0.014 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".