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Record W4396983598 · doi:10.69520/jipe.vi1.95

Building Research Capacity Among Community College Nursing Faculty

2021· article· en· W4396983598 on OpenAlex
Jennifer Innis, Jasmine Balakumaran, Roya Haghiri‐Vijeh, Michelle C. Hughes, Krista Kamstra‐Cooper, Audrey Kenmir, Janet Montague, Joyce Tsui

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 innovation in polytechnic education. · 2021
Typearticle
Languageen
FieldHealth Professions
TopicHealth Sciences Research and Education
Canadian institutionsCentennial College
Fundersnot available
KeywordsCommunity collegeNursingMedical educationPsychologySociologyMedicine

Abstract

fetched live from OpenAlex

BackgroundNursing faculty in colleges who teach in undergraduate programs in Canada typically partner with universities in collaborative relationships, to ensure students receive an undergraduate degree, which is essential for entry-to-practice. These collaborative programs have led to increased pressure for nursing faculty in colleges to engage in research as colleges are being held to the same accreditation standards as universities, with their emphasis on scholarship and research. College faculty face numerous barriers to engaging in research, and there has been little study of how research capacity is fostered among college facultyMethodsIn fall 2018, a participatory action research approach was taken to build research capacity within a group of 13 nursing faculty members in a college’s nursing program. Members met between October 2018 and March 2020, and thematic analysis was used to examine notes from the meetings.ResultsThree themes were identified: 1) encountering challenges; 2) leveraging strengths, and 3) building research expertise. Group members initiated four research projects which secured internal funding, and were initiated in fall 2019, and are now in the stage of analysis.DiscussionThis project has helped to foster a culture of research within this nursing program. The group is now transitioning to a community of practice for nursing faculty at the college focused on research.

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)0.019
metaresearch head score (Gemma)0.015
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.525
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0190.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.010
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.004
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 head0.378
GPT teacher head0.587
Teacher spread0.209 · 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