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Record W4293728042 · doi:10.1111/nin.12523

Control of resources in the nursing workplace: Power and patronage relations

2022· article· en· W4293728042 on OpenAlexaff
Shobha Nepali, Rochelle Einboden, Trudy Rudge

Bibliographic record

VenueNursing Inquiry · 2022
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsChildren's Hospital of Eastern OntarioUniversity of Ottawa
Fundersnot available
KeywordsPower (physics)NursingControl (management)SociologyPsychologyMedicineManagementEconomics

Abstract

fetched live from OpenAlex

Immigrant nurses make up a large percentage of the Australian nursing workforce. Since the support in the workplace is expected to be inclusive for all nurses, the aim of this article is to explore how support and opportunities for professional growth, learning and development are distributed across different categories of nurses working in a neonatal intensive care unit (NICU). An ethnographic approach has opened an examination of the everyday workplace practices in the NICU to gain insight into how nurses made sense of the social and power relations occurring between themselves and their senior colleagues and how they experienced the support and opportunities they received in their workplace. As today's workplaces such as the NICU are diverse in races, culture and experiences, the concepts of intersectionality and cultural safety assisted in identifying inequality and injustice related to such diversity. The results showed how patronage relations rendered nurses with immigrant status with major disadvantage and left them clinically and culturally vulnerable. Such inequity defeats the reasons for encouraging skilled migration of nurses and poses questions on the cultural competency of recruiting organisations. Considering how cultural safety might guide staff development offers opportunities for authentic support to culturally diverse nurses.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.358
Threshold uncertainty score1.000

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.050
GPT teacher head0.396
Teacher spread0.346 · 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 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

Citations3
Published2022
Admission routes1
Has abstractyes

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