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Record W4224312630 · doi:10.5430/jnep.v12n8p31

Faculty role in support of student scholary dissemination

2022· article· en· W4224312630 on OpenAlexvenueno aff
Denise Smart, Connie Kim Yen Nguyen-Truong, Deborah U. Eti, Natasha Barrow, Anne M. Mason, Gail Oneal

Bibliographic record

VenueJournal of Nursing Education and Practice · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicAcademic Writing and Publishing
Canadian institutionsnot available
Fundersnot available
KeywordsMentorshipScholarshipCompetence (human resources)Medical educationPsychologyPedagogyMedicinePolitical science

Abstract

fetched live from OpenAlex

Background: Academic universities across all countries hold faculty accountable to some degree for scholarship/dissemination, teaching, and research. In concert with these expectations, student-faculty scholarly collaborations present with challenges, barriers, opportunities, and benefits to and for both parties. Time requirements, student and faculty writing skills, communication of expectations, and ethical considerations for engagement and authorship are common themes noted in the literature.Purpose: This paper’s perspective explores the intricacies of the nurse faculty role in support of undergraduate and graduate nursing student scholarly writing with an emphasis on dissemination in peer-reviewed journals.Findings: Nursing literature addresses the need for scholarly writing and dissemination around the following areas: general writing needs and academic requirements, strategies to advance student or faculty writing competence, nursing program specific challenges, institutional support, faculty productivity focused articles, writing for publication specific articles and student-faculty collaboration articles.Conclusions: Scholarship collaboration in the form of student-faculty partnerships can be a rewarding experience. Faculty benefit from forming solid and often lasting relationships, and students benefit from mentorship and satisfaction of seeing their academic work as contributing to the science of nursing. When these opportunities are acknowledged and planned out with clear role expectations and guidelines in place, faculty gain additional experience in manuscript development and students gain solid writing skills that come from practice.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.449
Threshold uncertainty score0.278

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.092
GPT teacher head0.437
Teacher spread0.345 · 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 designQualitative
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

Citations0
Published2022
Admission routes1
Has abstractyes

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