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Record W2904738999 · doi:10.1080/23748834.2018.1546560

Development of an on-line interactive map to display environmental health assessments of Canadian communities: knowledge-translation to support collaborations for health

2018· article· en· W2904738999 on OpenAlexafffundabout
Russell J. de Souza, Ramandeep Singh Arora, Lise Gauvin, Natalie Williams, Scott A. Lear, Andre P. Oliveira, D. Desai, Daniel J. Corsi, S. V. Subramanian, A. Rana, Gillian L. Booth, Fahad Razak, Jeffrey R. Brook, Jack V. Tu, Sonia S. Anand

Bibliographic record

VenueCities & Health · 2018
Typearticle
Languageen
FieldHealth Professions
TopicPublic Health Policies and Education
Canadian institutionsSunnybrook HospitalPublic Health OntarioSt. Michael's HospitalUniversity of TorontoHamilton Health SciencesOttawa HospitalInstitute for Clinical Evaluative SciencesSimon Fraser UniversityPopulation Health Research InstituteUniversité de MontréalCentre Hospitalier de l’Université de MontréalImpactMcMaster University
FundersCanadian Institutes of Health Research
KeywordsKnowledge translationLine (geometry)Translation (biology)Computer scienceKnowledge management

Abstract

fetched live from OpenAlex

Contextual determinants of health in Canada include community demographics, tobacco, food, and alcohol. We developed an on-line and highly accessible interactive map containing information from over 2000 communities across Canada.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.372
Threshold uncertainty score0.748

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0040.004
Science and technology studies0.0030.001
Scholarly communication0.0030.002
Open science0.0020.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0270.005

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 head0.222
GPT teacher head0.536
Teacher spread0.314 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2018
Admission routes3
Has abstractyes

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