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Record W2909139116 · doi:10.1177/1360780418823221

Re-Imagining Healthcare and Medical Research Systems in Post-Devolution Scotland

2019· article· en· W2909139116 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSociological Research Online · 2019
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare Systems and Challenges
Canadian institutionsOntario College of Art and Design
FundersEconomic and Social Research CouncilWellcome TrustWellcome
KeywordsReferendumDevolution (biology)Independence (probability theory)NarrativeSociologyHealth carePublic relationsWork (physics)Gender studiesPublic administrationPolitical scienceLawPolitics

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.039
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesMetaresearch, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.499
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0390.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0020.010
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.503
GPT teacher head0.643
Teacher spread0.140 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it