MétaCan
Menu
Back to cohort
Record W4411671894 · doi:10.1111/nin.70043

Subordination by Design: Rethinking Power, Policy, and Autonomy in Perioperative Nursing

2025· article· en· W4411671894 on OpenAlexaff
Jennifer Dunn

Bibliographic record

VenueNursing Inquiry · 2025
Typearticle
Languageen
FieldNursing
TopicNursing education and management
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsSociologyAutonomyAgency (philosophy)NursingPower (physics)LegitimationProfessional boundariesPublic relationsMedicinePoliticsPolitical scienceLawSocial science

Abstract

fetched live from OpenAlex

This discussion paper critically examines how power, policy, and autonomy intersect within perioperative nursing practice. In surgical environments engineered for precision and control, perioperative nurses operate in spaces that simultaneously depend on their expertise and suppress their professional voice. Drawing on feminist theory, relational ethics, and organizational sociology, this paper interrogates the structural, spatial, and symbolic forces that subordinate perioperative nursing. Hospital design, procedural norms, and entrenched hierarchies are shown to reinforce the containment of nursing authority. Power dynamics manifest through gendered labor expectations, professional gatekeeping, and policy constraints, all of which limit nurses' capacity for advocacy, leadership, and autonomous decision-making. Issues such as moral distress, workplace aggression, and educational marginalization are reframed as systemic, rather than individual challenges-embedded within a broader architecture of exclusion. Through comparative analysis and reform models, the discussion re-articulates perioperative autonomy as a strategic reclamation of professional agency, grounded in interdisciplinary respect and structural inclusion. Ultimately, this paper argues that authentic transformation in surgical settings requires a cultural shift: one that repositions perioperative nurses not as assistants to innovation, but as architects of surgical care and co-authors of policy and practice.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.563
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
Bibliometrics0.0010.001
Science and technology studies0.0000.000
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 head0.033
GPT teacher head0.365
Teacher spread0.332 · 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 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

Citations8
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueNursing InquirySame topicNursing education and managementFrench-language works237,207