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Record W1522001015 · doi:10.3928/0148-4834-20000201-10

Graduate Education in Nursing Leadership Through Distance Technologies: The Canada-Norway Nursing Connection

2000· article· en· W1522001015 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Nursing Education · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicService-Learning and Community Engagement
Canadian institutionsLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsNursingNurse educationContext (archaeology)Distance educationHealth careMedicineMedical educationPsychologyPedagogyPolitical science

Abstract

fetched live from OpenAlex

The Canada-Norway Nursing Connection was a collaborative project designed to provide an international educational experience for graduate students in nursing via distance technology. Computer-conferencing and video-teleconferencing were used to address nursing leadership content through case studies. The same technologies were employed to develop the project. The processes of planning and implementing the international linkage are described. Agreement about goals, content, context for online discussion, delivery methods, academic expectations, language support, and logistics was essential. The media proved to be effective for students to gain understandings about nursing leadership, health care, and the forces influencing the nursing profession globally. Insights from the project provided a basis for the development of a model for interactive, international graduate education that will be of value to educators dedicated to helping students gain a global understanding of nursing and health care issues.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.872
Threshold uncertainty score0.971

Codex and Gemma teacher scores by category

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

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 head0.125
GPT teacher head0.392
Teacher spread0.267 · 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