MétaCan
Menu
Back to cohort
Record W2942679948 · doi:10.3928/01484834-20190422-07

Baccalaureate Nursing Students' Perceptions of Learning in Mentored and Simulated Research Practica

2019· article· en· W2942679948 on OpenAlexaboutno aff
Marissa Bird, Jesseca Tolan, Nancy Carter

Bibliographic record

VenueJournal of Nursing Education · 2019
Typearticle
Languageen
FieldHealth Professions
TopicHealth Sciences Research and Education
Canadian institutionsnot available
Fundersnot available
KeywordsPracticumMedical educationNursingPsychologyResearch designData collectionMedicineMathematics

Abstract

fetched live from OpenAlex

BACKGROUND: A simulated research practicum was developed in our nursing program to increase the number of quality research placements for our students. In order to evaluate the success of this simulation activity, we compared students' experiences in simulated and traditional mentored research placements. METHOD: A convenience sample of baccalaureate nursing students enrolled in an introductory research course in Ontario, Canada, was surveyed. A two-group posttest survey design was used to assess the research activities students experienced and their satisfaction with placements. Data were compared between the traditional mentored research placements (MRP) and simulated research placements (SRP) using descriptive and inferential statistical testing. RESULTS: Students in the SRP group had a statistically significant higher level of exposure to several aspects of the research process, although course satisfaction ratings were slightly better in the MRP group. CONCLUSION: The simulated practicum provided our organization with a feasible means of providing high-quality research placements by exposing undergraduate nursing students to several aspects of the research process. [J Nurs Educ. 2019;58(5):290-293.].

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)0.006
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.084
Threshold uncertainty score0.579

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
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 head0.208
GPT teacher head0.643
Teacher spread0.435 · 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

Citations5
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Nursing EducationSame topicHealth Sciences Research and EducationFrench-language works237,207