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Record W2510065836 · doi:10.5430/jha.v5n6p28

Does empowerment matter? Perceptions of nursing leaders in Pakistan through qualitative approach

2016· article· en· W2510065836 on OpenAlexvenueno aff
Saleema Gulzar, Rozina Karamaliani, Kausar S Khan, Rubina Barolia, Shirin Rahim, Aneeta Pasha

Bibliographic record

VenueJournal of Hospital Administration · 2016
Typearticle
Languageen
FieldNursing
TopicNursing Education, Practice, and Leadership
Canadian institutionsnot available
Fundersnot available
KeywordsEmpowermentNursingQualitative researchPerceptionPower (physics)Nurse educationMedicinePsychologySociologyPolitical science

Abstract

fetched live from OpenAlex

Background: In a patriarchal society like Pakistan, where women are oppressed, women dominating professions like nursing is mostly seen as disempowered and requires considerable struggle to achieve its due recognition and respect. Aim: This study aims to explore the experiences of empowerment among the nursing leaders of Pakistan.Methods: This study uses a qualitative descriptive design. Total of twelve Pakistani Nursing leaders were interviewed using semi-structured interview guideline to explore their experiences of empowerment.Results: The study findings revealed five major categories which include: status of a nurse, nursing profession, power relationships, value-belief system, and leadership and management.Conclusions: Nurses’ empowerment is essential for enhancing the image and status of nursing profession in Pakistan. The study identified various personal and professional factors affecting nurses’ empowerment in the country and suggests various strategies, such as access to higher nursing education, development of enhanced nursing leadership competencies and understanding of power and politics of the organization, through which nurses can achieve empowerment.

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)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.069
Threshold uncertainty score0.370

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.043
GPT teacher head0.415
Teacher spread0.372 · 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 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

Citations2
Published2016
Admission routes1
Has abstractyes

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