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Record W3006328530 · doi:10.7861/fhj.2019-0067

A Canadian Rural Living Lab Hospital: Implementing solutions for improving rural emergency care

2020· article· en· W3006328530 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueFuture Healthcare Journal · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovative Approaches in Technology and Social Development
Canadian institutionsCentre intégré de santé et de services sociaux de Chaudière-AppalachesUniversité Laval
Fundersnot available
KeywordsTelemedicineWork (physics)Medical emergencyRural areaLiving labHealth careNursingMedicineBusinessComputer scienceEngineeringPolitical science

Abstract

fetched live from OpenAlex

INTRODUCTION: More than 6 million Canadians live in rural areas (approximately 20% of the population) and emergency services are a critical safety net for them. OBJECTIVES: We want to create, in Baie-Saint-Paul (rural emergency department, Québec, Canada), an experimental milieu where all stakeholders develop, implement and evaluate solutions to address the problems that beset their environment. METHOD: simulation, care protocol, telemedicine, point-of-care ultrasound, helicopters and drones). CONCLUSION: We are confident that this Living Lab will contribute to saving lives, will improve the quality of work life for rural healthcare professionals, and will inspire similar innovation internationally.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.567
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.022
GPT teacher head0.258
Teacher spread0.236 · 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