MétaCan
Menu
Back to cohort
Record W2730461523 · doi:10.3928/01484834-20170619-06

Collaborative Baccalaureate Programs: Preliminary Data on Canadian Undergraduate Nursing Students' Satisfaction

2017· article· en· W2730461523 on OpenAlexaboutno aff
Laurie Freeman‐Gibb, Beverley Jones, Selina Rehman, Janet Ragier

Bibliographic record

VenueJournal of Nursing Education · 2017
Typearticle
Languageen
FieldNursing
TopicNursing education and management
Canadian institutionsnot available
Fundersnot available
KeywordsBachelorNursingLicensureNurse educationMedical educationPsychologyMedicinePolitical science

Abstract

fetched live from OpenAlex

BACKGROUND: Ten years ago, nursing education in Ontario, Canada, changed when entry to practice and licensure became a bachelor's of science in nursing (BScN) for RNs. This article presents the initial results of an ongoing 5-year longitudinal study on undergraduate students' satisfaction within a collaborative BScN program and predictors of satisfaction with their nursing education. METHOD: BScN nursing students from one group of collaborative sites participated in a survey pertaining to satisfaction with their program. Data were collected via paper and pen or online. RESULTS: Initial data found that students were satisfied or strongly satisfied with their collaborative nursing education (M ± SD = 183.9 ± 32.7). However, any type of conflict had a significant negative relationship with satisfaction in all domains. No other significant predictors of satisfaction were uncovered. CONCLUSION: Overall, students were very satisfied with a collaborative model of baccalaureate nursing education. Conflict of any type decreases satisfaction within all domains of nursing education. [J Nurs Educ. 2017;56(7):420-424.].

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.903
Threshold uncertainty score0.946

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
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 head0.049
GPT teacher head0.411
Teacher spread0.362 · 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

Citations8
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Nursing EducationSame topicNursing education and managementFrench-language works237,207