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Record W2092710396 · doi:10.2202/1548-923x.2082

Nurse Educator Pathway Project: A Competency-Based Intersectoral Curriculum

2010· article· en· W2092710396 on OpenAlex

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.

Bibliographic record

VenueInternational Journal of Nursing Education Scholarship · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Learning Practices
Canadian institutionsFraser HealthUniversity of British ColumbiaUniversity of TorontoVancouver Coastal HealthUniversity of Victoria
Fundersnot available
KeywordsCurriculumNurse educationCurriculum developmentNursingMedical educationCareer PathwaysMedicineNursing practiceCurriculum frameworkPedagogyPsychology

Abstract

fetched live from OpenAlex

In this paper, we begin by providing an overview of the Educator Pathway Project (EPP), an education infrastructure that was developed in response to emerging critical nursing workplace issues, and the related demand for enhanced workplace education. We then describe the EPP competency-based curriculum designed to prepare nurses as preceptors, mentors, and educators to lead learning with diverse learner groups. This competency-based curriculum was developed through a collaboration of nurse leaders across practice, academic, and union sectors and drew from a widely embraced curriculum development model (Iwasiw, Goldenberg, & Andrusyzyn, 2005). The goal of the curriculum was to prepare nurses through a four-level career pathway model that contextualized practice and education theory to various education-related roles and levels of experience within the practice setting. Over 1,100 nurses participated in this innovative intersectoral nursing initiative.

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)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.806
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0010.000
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 head0.047
GPT teacher head0.459
Teacher spread0.412 · 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