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Record W2130945141 · doi:10.1177/1043659608317095

Strategies to Support Recruitment and Retention of First Nations Youth in Baccalaureate Nursing Programs in Saskatchewan, Canada

2008· review· en· W2130945141 on OpenAlex
June Anonson, Joyce Desjarlais, Jackie Nixon, Lori Whiteman, Alteta Bird

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

VenueJournal of Transcultural Nursing · 2008
Typereview
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsFirst Nations University of CanadaUniversity of SaskatchewanPrince Albert Grand Council
Fundersnot available
KeywordsNursingHealth carePopulationProgram evaluationMedicineMedical educationPsychologyPolitical scienceEnvironmental health

Abstract

fetched live from OpenAlex

Aboriginal youth is one of the fastest growing of all populations in Saskatchewan today. This is a prime group to target for training in the health care professions. The need for strategies to support recruitment and retention in these programs is critical for maintaining our present standard and increasing demands of quality health care. Program initiatives and supports need to be implemented to encourage this population to enroll in and complete health care programs. Although only 5 years old, the University of Saskatchewan, First Nations University of Canada, and Saskatchewan Institute of Applied Science and Technology (SIAST) have created a viable northern nursing program with a retention rate of Aboriginal postsecondary students 13% greater than the provincial norm. They graduated their first class of nursing students from and for the North, May 2006.

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.530
Threshold uncertainty score0.984

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.124
GPT teacher head0.377
Teacher spread0.253 · 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