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Record W2151997822 · doi:10.12927/cjnl.2013.23447

Curriculum Review of an Environmental Health Program: An International Nursing Experience

2013· article· en· W2151997822 on OpenAlexaffvenueabout
Sheila Profit, Judy Bailey

Bibliographic record

VenueNursing leadership · 2013
Typearticle
Languageen
FieldNursing
TopicChild Nutrition and Water Access
Canadian institutionsCape Breton University
Fundersnot available
KeywordsCurriculumCollegialityNursingNurse educationProfessional developmentMillennium Development GoalsCurriculum developmentMedical educationMedicinePolitical sciencePedagogySociology

Abstract

fetched live from OpenAlex

Two nursing professors from a small Canadian university provided a leadership role in a curriculum review of an environmental health technology program in Zambia. The combined health and education experience of these two professionals was the optimal fit to help guide and facilitate the curriculum review. This review was part of a larger project that had the ultimate goal of improving environmental management in rural and peri-urban communities in order to reduce infant and under-five mortality rates, thereby addressing three of the UN Millennium Development Goals. Participants from two post-secondary educational institutions in Zambia and a non-governmental organization spent five days together reviewing the theoretical and practical components of the program. Theoretical content, practice opportunities and demonstrable student competencies were updated within existing resources. The collegiality and respect among the participants from many disciplines provided the basis for a positive experience in intersectoral collaboration and global health.

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)0.013
metaresearch head score (Gemma)0.020
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: Review · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.020
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0070.002
Scholarly communication0.0040.002
Open science0.0020.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.115
GPT teacher head0.369
Teacher spread0.254 · 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
GenreReview

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

Citations2
Published2013
Admission routes3
Has abstractyes

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