Faculty role in support of student scholary dissemination
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.040 | 0.180 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.008 | 0.004 |
| Scholarly communication | 0.016 | 0.007 |
| Open science | 0.003 | 0.012 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.067 | 0.028 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".