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Record W4316673019 · doi:10.1111/beer.12515

Ethical leadership in a complex environment: A case study on Nunavik health organizations

2023· article· en· W4316673019 on OpenAlexaffabout
Geneviève Morin, David Talbot

Bibliographic record

VenueBusiness Ethics the Environment & Responsibility · 2023
Typearticle
Languageen
FieldHealth Professions
TopicEthics in medical practice
Canadian institutionsÉcole Nationale d'Administration Publique
Fundersnot available
KeywordsContext (archaeology)Health careEthical leadershipPublic relationsSociologyPsychologyPolitical scienceEngineering ethicsGeographyLawEngineering

Abstract

fetched live from OpenAlex

Abstract Despite being the primary homeland of Quebec's Inuit people, Nunavik's health care is typically planned and provided by non‐Inuit newcomers. This retrospective case study investigates the effects of ethical leadership on the Westernized local Nunavik health care system's cultural sensitivity to its disproportionately Inuit populations. An integrative framework is developed that considers the dimensions of ethical leadership and the omnibus and discrete dimensions of context. This study shows that some Nunavik health care managers seek to improve and adapt the system to the needs of their Inuit populations, while others do not. Unfortunately, the context restricts the former managers' ability to act consistently with their moral responsibilities and beliefs. Specifically, the findings show various institutional barriers to providing respectful and sensitive health care to Inuit. This study contributes to the scientific literature on ethical leadership by proposing an integrative conceptual framework. This framework illustrates how ethical leadership is inseparable from organizational context, identifying 16 contextual factors influencing managers' ethical behavior. Finally, three practical recommendations are proposed to highlight the omnibus and discrete context elements.

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)0.081
metaresearch head score (Gemma)0.063
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.546
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0810.063
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0050.002
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0020.027
Insufficient payload (model declined to judge)0.0010.003

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 head0.476
GPT teacher head0.502
Teacher spread0.025 · 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; both teacher heads agree on what is shown here.

Study designObservational
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

Citations9
Published2023
Admission routes2
Has abstractyes

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