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Record W2774605089 · doi:10.13162/hro-ors.v5i3.3154

Americanizing Canadian Nursing: Nursing Regulation Drift

2017· article· fr· W2774605089 on OpenAlexaffvenueabout
Kathleen MacMillan, Judith A. Oulton, Rachel Bard, Wendy Nicklin

Bibliographic record

VenueHealth Reform Observer - Observatoire des Réformes de Santé · 2017
Typearticle
Languagefr
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsMoncton HospitalDalhousie University
Fundersnot available
KeywordsNursingPsychologyMedicine

Abstract

fetched live from OpenAlex

Recent regulatory changes mean Canadian nurses are writing a US-based entry to practice exam and a US company is assessing credentials of internationally educated nurses (IENs) for Canadian registration. This paper asserts that this policy direction has significant consequences for Canadian content and integrity of education programs, francophone parity in testing, and the future of primary health care and health system reform. Furthermore, writing a US exam means Canada is at risk of losing nursing human resources to the United States while trade agreements endanger Canadian nursing intellectual property.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.638
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0230.003
Scholarly communication0.0010.004
Open science0.0020.000
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0010.001

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 head0.090
GPT teacher head0.437
Teacher spread0.347 · 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 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

Citations8
Published2017
Admission routes3
Has abstractyes

Explore more

Same venueHealth Reform Observer - Observatoire des Réformes de SantéSame topicGlobal Health Workforce IssuesFrench-language works237,207