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Record W2469962209

Prince Edward Island Heart Health Dissemination Research Project: establishing a sustainable community mobilization initiative.

2001· article· en· W2469962209 on OpenAlexaffabout
Richard O. White, Terry Mitchell, Elizabeth Dyke, Louise E. Sweet, Réjean Hébert, Olive Moase, Renée S. MacPhee, Brenda MacDonald

Bibliographic record

VenuePubMed · 2001
Typearticle
Languageen
FieldHealth Professions
TopicPublic Health Policies and Education
Canadian institutionsHealth PEI
Fundersnot available
KeywordsPovertyUnemploymentAgricultureTourismPopulationMobilizationPolitical scienceGeographyEconomic growthEconomicsDemographySociologyArchaeology
DOInot available

Abstract

fetched live from OpenAlex

This paper provides an overview of the Prince Edward Island Heart Health Program (PEIHHP) Dissemination Research Project. Prince Edward Island (PEI) is a small province in the Atlantic region of Canada with a population of 137,980. The Island's economy is dependent on the fishery, agriculture, and tourism industries. Although unemployment rates are high (14.4%), Prince Edward Island has the lowest poverty rate in the country at 15.2%, high levels of social support (86%), and the second lowest rate of high chronic stress (Report on the Health of Canadians, 1996, 1999).

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)0.088
metaresearch head score (Gemma)0.064
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.840
Threshold uncertainty score0.467

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0880.064
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0050.002
Scholarly communication0.0040.002
Open science0.0020.010
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0250.005

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 head0.200
GPT teacher head0.518
Teacher spread0.318 · 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 designObservational
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
Published2001
Admission routes2
Has abstractyes

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