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Record W1978605204 · doi:10.2202/1548-923x.1777

Integrated Nursing Access Program: An Approach to Prepare Aboriginal Students for Nursing Careers

2010· article· en· W1978605204 on OpenAlexaffabout
Carole Orchard, Paula Didham, Cathy Jong, June M. Fry

Bibliographic record

VenueInternational Journal of Nursing Education Scholarship · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsHealth CanadaGovernment of NunavutWestern University
Fundersnot available
KeywordsBachelorCurriculumNursingIndigenousNurse educationMedicineMedical educationPsychologyPedagogyPolitical science

Abstract

fetched live from OpenAlex

The challenge to transfer the health care of Aboriginal peoples of Canada from non-Aboriginal to predominantly Aboriginal health professionals, requires preliminary innovative approaches in post-secondary education. Described in this paper, is the background, development and progress to date of the Integrated Nursing Access Program (INAP) for Aboriginal students, and its phenomenological approach to curriculum design. Traditional indigenous knowledge and methodologies are embedded in process learning and university-level program activities. Learning in this INAP Bachelor of Nursing program occurs over three years, during which time students complete high school requirements together with some first year nursing courses. The program is followed by three additional years of exclusive baccalaureate level nursing education. To date, students have successfully completed the first half of this program.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.000
Scholarly communication0.0010.001
Open science0.0010.005
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.078
GPT teacher head0.526
Teacher spread0.448 · 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 designQualitative
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

Citations6
Published2010
Admission routes2
Has abstractyes

Explore more

Same venueInternational Journal of Nursing Education ScholarshipSame topicIndigenous Health, Education, and RightsFrench-language works237,207