Re-Imagining Healthcare and Medical Research Systems in Post-Devolution Scotland
Bibliographic record
Abstract
We use the concept of 'imagined communities', and related work on socio-technical imaginaries and expectations, to reflect on how Scotland is represented simultaneously as 'sick and unhealthy' and a 'living lab' due to its innovative medical research. Together, we suggest these narratives have driven a broader health and wealth agenda in post-devolution Scotland, which became salient during the 2014 independence referendum. We draw on research conducted during the independence referendum to consider how key stakeholders enacted imagined communities/identities (sick but also innovative) as they considered the historical impact of devolution on health and research systems and envisioned future independence. The referendum provided an opportunity to consider how Scottish health and research systems have been imagined over time. Our findings further the understanding of the impact of devolution on healthcare and medical research, revealing the role played by policy narratives rooted in imagined identities.
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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 | 0.056 | 0.038 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.028 | 0.116 |
| Scholarly communication | 0.030 | 0.021 |
| Open science | 0.003 | 0.035 |
| Research integrity | 0.006 | 0.011 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".