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Record W4321378686 · doi:10.1016/j.onehlt.2023.100510

It's time to take a sustainable approach to health care in the face of the challenges of the 21st century

2023· review· en· W4321378686 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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueOne Health · 2023
Typereview
Languageen
FieldEnvironmental Science
TopicClimate Change and Health Impacts
Canadian institutionsCentre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-JeanUniversité du Québec à Chicoutimi
FundersUniversité du Québec à Chicoutimi
KeywordsPandemicFace (sociological concept)Health carePerspective (graphical)Global healthCoronavirus disease 2019 (COVID-19)Public relationsGlobalizationPolitical scienceEconomic growthEngineering ethicsBusinessEnvironmental ethicsSociologyMedicineComputer scienceSocial scienceEngineeringEconomicsLawDisease

Abstract

fetched live from OpenAlex

Health challenges in the 21st century have become increasingly complex and global. The recent COVID-19 pandemic has only exacerbated the many problems faced by health care systems around the world and sadly, exposed various flaws. With ageing populations, particularly in Canada, as well as unavoidable factors such as globalization and accelerating climate change, it is becoming imperative to implement a new health care approach based on intersectorality and interdisciplinarity. Furthermore, links must be forged between all the stakeholders, i.e. the researchers, the health system and its specialists, the communities and the individuals themselves. It is in this perspective, where everyone concerned must be equally involved in attaining a better quality of life, that the concepts of One Health and sustainable health must be deployed.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.917
Threshold uncertainty score0.807

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.158
GPT teacher head0.376
Teacher spread0.218 · 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