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Record W2783107058 · doi:10.1177/1744987117748347

Perception of work-related empowerment of nurse managers

2018· article· en· W2783107058 on OpenAlexaff
Marija Truš, Diane Doran, Arvydas Martinkėnas, Paula Asikainen, Tarja Suominen

Bibliographic record

VenueJournal of research in nursing · 2018
Typearticle
Languageen
FieldNursing
TopicNursing education and management
Canadian institutionsUniversity of Toronto
FundersPirkanmaan SairaanhoitopiiriTampereen YliopistoSuomen Kulttuurirahasto
KeywordsEmpowermentPerceptionNursingWork (physics)PsychologyMedicinePolitical science

Abstract

fetched live from OpenAlex

PURPOSE/AIM: The paper aims to analyse the perception of being empowered according to the self-evaluation of nurse managers, presenting it as structural and psychological empowerment. METHODS: A questionnaire-based study was conducted. The sample consisted of 193 nurse managers working in a total of seven university and general level hospitals in Lithuania. The Conditions of Work Effectiveness Questionnaire-II measuring structural empowerment and the Work Empowerment Questionnaire measuring psychological empowerment were used. RESULTS: The paper reveals that nurse managers experienced structural empowerment at a moderate level and were highly psychologically empowered. CONCLUSIONS: These findings are in line with previous research. The results showed that particular background factors were related to aspects of empowerment. The findings of this research can be used to examine the structural and psychological aspects that function as barriers to feeling empowered. The results are also useful for chief nurses who are involved in the recruitment and retention of nurse managers. Further research is needed to look into the question of improving formal power issues, e.g. the rewards for innovation at work, and also outcome empowerment aspects that may affect changes in the way that nurse managers carry out their work.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.808
Threshold uncertainty score0.357

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
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 head0.044
GPT teacher head0.446
Teacher spread0.402 · 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 designOther design
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

Citations24
Published2018
Admission routes1
Has abstractyes

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