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Record W7117211421

How new graduate nurses working in Ontario long-term care homes develop the nurse role of leader

2025· other· W7117211421 on OpenAlexaboutno aff
Nicole A. Guitar, Denise Connelly

Bibliographic record

VenueOSF Preprints (OSF Preprints) · 2025
Typeother
Language
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsTeamworkMultidisciplinary approachInterpersonal communicationHealth carePerspective (graphical)Professional developmentMEDLINENurse educationPatient care
DOInot available

Abstract

fetched live from OpenAlex

In the literature, new nurses seem to consider behaviours and knowledge of the leader professional role as ‘soft skills’ (Laari et al. 2024) and perhaps less important that nursing ‘tasks’. Clinical leadership skill is defined as ‘‘staff nurse behaviours that provide direction and support to clients and the health care team in the delivery of patient care’’ with five defining characteristics: clinical expertise, effective communication, collaboration, coordination, and interpersonal understanding (Patrick et al., 2011). A most recent integrative review of new graduate nurses’ self-assessed competencies (Song & McCreary, 2020) reported that new graduate nurses had difficulties in assigning duties and communicating with staff and their confidence in collaborating seemed to be limited to immediate team members. These findings are worrisome given the expectations for the nurse leader role of new graduate nurses. This review highlighted the new graduate nurse concerns mainly involved “soft-skill” competency areas as insufficient including communicating and collaborating with personnel other than nurses to achieve multidisciplinary teamwork (Lancaster et al., 2015). The findings of this scoping review present an understanding of leadership development from perspectives of nurse educators and curriculum, and transition programs or supports. The perspective of the new graduate nurse regarding ‘how’ they develop the associated skills and knowledge to fulfill their professional role as leader after successfully passing the registration exam and working in their new role as a registered practical nurse or registered nurse is lacking in the literature. How new graduate nurses develop these competencies to fulfill their professional role as leader during their first year of working as a new nurse in long-term care is less known. Therefore, this study will (1) identify the knowledge, skills, behaviours perceived to be needed for the nurse leader role by new nurse graduates working in long-term care; and (2) describe the process of how new graduate nurses develop the knowledge, skills, behaviours for the nurse leader role during the first year of working in long-term care.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.567
Threshold uncertainty score0.862

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.028
GPT teacher head0.267
Teacher spread0.239 · 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 source (direct Gemma or distilled Codex), 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
Published2025
Admission routes1
Has abstractyes

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