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Record W1971622753 · doi:10.12927/cjnl.2013.23250

Support and Access for Nursing Continuing Education in Canadian Work Environments

2013· article· en· W1971622753 on OpenAlexaffvenueabout
Michelle Lalonde, Linda M. Hall, Sheri Price, Gavin J. Andrews, Alexandra Harris, Sandra MacDonald‐Rencz

Bibliographic record

VenueNursing leadership · 2013
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsUniversity of TorontoMcMaster UniversityDalhousie UniversityCentre for Disability Prevention and RehabilitationSt. Lawrence College
Fundersnot available
KeywordsAccreditationContinuing educationThematic analysisNursingWork (physics)Nurse educationContext (archaeology)Qualitative researchAffect (linguistics)PsychologyMedical educationMedicineSociology

Abstract

fetched live from OpenAlex

The purpose of this study was to explore how educational opportunities may affect nurses' decision to move within Canada. Thematic analysis of qualitative data obtained from 35 registered nurses and 35 licensed practical nurses highlighted educational opportunities available in Canada and how these influence nurses' decision to move across the country for work. The results indicate that Canadian nurses value continued learning but face several barriers while trying to further their education. Two main themes emerged: support for and access to continuing education. Canadian nurses perceive a lack of support, both financially and in the form of scheduling, for engaging in continuing education. Additionally, the lack of access to accredited continuing education programs was reported. The findings and implications of this study are examined within the context of nurse mobility.

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)0.000
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 score0.482
Threshold uncertainty score0.994

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 head0.187
GPT teacher head0.450
Teacher spread0.264 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations12
Published2013
Admission routes3
Has abstractyes

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