MétaCan
Menu
Back to cohort

Public Health in Canada: An Overview

2015· article· pl· W2225561064 on OpenAlexaffabout
Iwona A. Bielska, Ashley C. Drobot, Mackenzie Moir, Robert Nartowski, Raymond Lee, Julia Lukewich, Mark K. Lukewich

Bibliographic record

VenueZdrowie Publiczne i Zarządzanie · 2015
Typearticle
Languagepl
FieldHealth Professions
TopicPublic Health Policies and Education
Canadian institutionsUniversity of AlbertaMemorial University of NewfoundlandQueen's University
Fundersnot available
KeywordsPublic healthGovernment (linguistics)Population healthInternational healthPopulationEnvironmental healthHealth policyAgency (philosophy)Health promotionMedicinePolitical sciencePublic relationsEconomic growthNursingSociology

Abstract

fetched live from OpenAlex

Public health is comprised of services, programs, and policies aimed at promoting health, preventing injury and chronic diseases, and responding to health emergencies. Public health professionals include front line providers, consultants, and specialists from various disciplines and professions, such as medicine, nursing, and epidemiology. Public health in Canada is provided through the collaboration between three levels of government, namely municipal, provincial or territorial, and federal. While public health is a shared responsibility of all levels of government, the volume and direction of allocated resources for related activities varies between the provinces and territories. Canada’s public health history predates its founding in 1867. A turning point in public health in the country occurred following the Severe Acute Respiratory Syndrome (SARS) outbreak in 2003. The following year, the federal Public Health Agency of Canada (PHAC) was created. Its role is to improve and maintain population health in Canada. The Chief Public Health Officer is the deputy head of the PHAC and is the government’s lead public health professional. The public health landscape in Canada will continue to evolve to meet the growing needs of its population and to address existing health challenges including adverse health events related to chronic diseases and unhealthy lifestyles. Moreover, it will further adapt to respond to new public health threats, such as the emergence of tropical illnesses, the northward spread of infectious agents due to climate change, and disease transmission related to international travel.

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 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)0.014
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.652
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.004
Science and technology studies0.0010.000
Scholarly communication0.0000.003
Open science0.0020.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.498
GPT teacher head0.486
Teacher spread0.012 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreCommentary

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

Citations3
Published2015
Admission routes2
Has abstractyes

Explore more

Same venueZdrowie Publiczne i ZarządzanieSame topicPublic Health Policies and EducationFrench-language works237,207