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Record W2022310173 · doi:10.1179/oeh.2009.15.4.410

Children's Health and Environment Education and Training for Health Care Professionals in Canada: Assessing Gaps, Barriers, and Needs

2009· article· en· W2022310173 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInternational Journal of Occupational and Environmental Health · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicClimate Change and Health Impacts
Canadian institutionsUniversity of TorontoEnvironment and Climate Change Canada
Fundersnot available
KeywordsCurriculumHealth professionalsTraining (meteorology)Health careNursingMedical educationMedicinePsychologyPublic relationsEnvironmental healthPolitical sciencePedagogy

Abstract

fetched live from OpenAlex

Scientific evidence suggests that children may be especially vulnerable to environmental hazards. However, medical professionals are often unable to effectively diagnose and treat environment-related illness in patients. To rectify this, many have called for improved post-secondary education and training opportunities in this field in Canada. This study aims to assess the state of education and training for healthcare professionals in children's environment and health, identify related gaps and barriers, and develop recommendations for improvement. Survey participants indicated three primary barriers to the integration of children's health and environment topics in current curricula: a lack of available expertise in the discipline in Canada, a lack of perceived importance of the topic, and a lack of financial and institutional support. A concerted effort must be undertaken to overcome the identified barriers to produce a cadre of healthcare professionals skilled in children's health and environment.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.521
Threshold uncertainty score0.984

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.035
GPT teacher head0.367
Teacher spread0.332 · 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