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Record W2036777809 · doi:10.12927/cjnl.2012.22812

British Columbia: Improving Retention and Recruitment in Smaller Communities

2012· article· en· W2036777809 on OpenAlexaffvenueabout
Marion Healey-Ogden, Patricia Wejr, Catherine Farrow

Bibliographic record

VenueNursing leadership · 2012
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsThompson Rivers University
Fundersnot available
KeywordsStaffingGeneral partnershipChristian ministryNursingUnit (ring theory)Work (physics)Health authorityPolitical scienceMedicinePsychologyEngineering

Abstract

fetched live from OpenAlex

This pilot project involved the application, in Canada, of the innovative 80/20 staffing model to a hospital in a small rural setting. The model provides the voluntary participants with 20% of their salaried time off from direct patient care in order to pursue various types of professional development activities. The project, overseen by a steering committee, lasted from June 2009 to February 2010 and involved 14 nurses on the pediatric unit of Royal Inland Hospital in Kamloops, British Columbia. It entailed a collaborative partnership of the British Columbia Nurses' Union, Interior Health Authority, Thompson Rivers University and the British Columbia Ministry of Health, and aimed to demonstrate how professional development opportunities can improve recruitment and retention of nurses, quality of work life and quality of patient care.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.264
Threshold uncertainty score0.952

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.501
GPT teacher head0.434
Teacher spread0.068 · 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

Citations4
Published2012
Admission routes3
Has abstractyes

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