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Record W3127186236 · doi:10.5864/d2020-029

Climate change education: the need for comprehensive climate change education in environmental public health curriculum

2020· article· en· W3127186236 on OpenAlex
Maddy Boyko, Tatianna Desak, Christy Fleming, Ken Diplock, Wendy Pons

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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueEnvironmental Health Review · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicClimate Change and Health Impacts
Canadian institutionsConestoga College
Fundersnot available
KeywordsClimate changePublic healthAccreditationCurriculumPolitical scienceHealth educationPublic relationsEnvironmental resource managementEnvironmental healthEnvironmental planningMedicineMedical educationGeographyNursingEnvironmental science

Abstract

fetched live from OpenAlex

Climate change is a significant issue impacting human and environmental health. Public health professionals will play an important role in responding to this crisis. This research investigated the need for enhanced climate change education for those in a Canadian Institute of Public Health Inspector (CIPHI)-accredited post-secondary program. In February 2020, a web-based survey was sent to public health professionals via the Ontario Branch of the CIPHI and the Association of Supervisors of Public Health Inspectors in Ontario listservs. The survey explored the climate change subject areas most relevant to public health work, reflections of public health professionals’ own climate change education, and opportunities for improvements in climate change education. The results showed most public health professionals are aware of climate change’s relationship to human health, recognize its impacts in their field, and believe in the value of climate change education. Understanding climate change impacts within this public health profession and the need for climate change education can influence future curricula for prospective public health professionals, resulting in professionals entering the field prepared to tackle the challenges of the future.

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), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.898
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.002

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 head0.182
GPT teacher head0.389
Teacher spread0.207 · 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