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Record W4393239028 · doi:10.12927/cjnl.2024.27289

Leaders' Role in Fostering a Just Culture

2024· article· en· W4393239028 on OpenAlexaffvenue
Laura Danielle Pozzobon, Kim Sears, Aleksandra M. Zuk

Bibliographic record

VenueNursing leadership · 2024
Typearticle
Languageen
FieldHealth Professions
TopicEthics in medical practice
Canadian institutionsQueen's University
Fundersnot available
KeywordsSafety cultureOrganizational cultureHealth careTransparency (behavior)HarmPatient safetyPublic relationsNursingPsychologyMedicinePolitical scienceManagementSocial psychology

Abstract

fetched live from OpenAlex

Just culture supports learning, encourages transparency and minimizes harm following reported patient safety incidents. Healthcare leaders have a key role in establishing and maintaining a just culture to improve patient safety at the macro, meso and micro levels of the healthcare system. In this paper, we discuss the role of leaders at various levels in the healthcare system in fostering a just culture to support the reporting of and learning from patient safety incidents. Specifically, leadership challenges related to establishing a just culture to improve patient safety are analyzed. In addition, we identify opportunities for healthcare leaders to foster a just culture.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.965
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.009
Insufficient payload (model declined to judge)0.0010.002

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 head0.601
GPT teacher head0.540
Teacher spread0.061 · 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.

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

Citations4
Published2024
Admission routes2
Has abstractyes

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