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Record W4407255724 · doi:10.1111/nin.12701

“It's Very Cisnormatively Structured”: An Interpretive Description of Undergraduate Nursing Students' Experiences of Gender Inclusive and Affirming Practices

2025· article· en· W4407255724 on OpenAlexafffund
Jess Crawford, Marnie Kramer, Janice Ristock, Annette Schultz

Bibliographic record

VenueNursing Inquiry · 2025
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsUniversity of Manitoba
FundersCanadian Institutes of Health ResearchCanadian Nurses Foundation
KeywordsPsychologyMedical educationPedagogySociologyNursingMedicine

Abstract

fetched live from OpenAlex

This study explores the experiences of undergraduate nursing students learning about transgender and gender diverse (TGD) health. We discuss nursing education's perpetuation of discrimination and erasure of TGD people and upholding of gender norms (cisnorms) is not sufficiently preparing students to care for TGD patients. Further, this rampant cisnormativity harms TGD nursing students. This interpretive description drew on queer theory and Hafferty's three levels of curriculum and engaged 18 undergraduate nursing students in initial and 13 in follow-up focus groups or interviews. Three key themes included (1) cisnormativity is perpetuated in nursing education through pervasive power and norms across the three levels of curriculum; (2) "The Trans Problem": Transgender and gender diverse people are othered in nursing education; and (3) Welcoming the other: Individual educators who welcome and affirm TGD people are crucial. Critical recommendations from students to advance gender inclusive and affirming practices are provided, including normalizing gender diversity in formal nursing education, the importance of accountability and representation in schools of nursing, and the need for nursing governing bodies to disrupt cisnormativity.

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)0.000
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 score0.205
Threshold uncertainty score0.823

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.072
GPT teacher head0.462
Teacher spread0.390 · 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
Published2025
Admission routes2
Has abstractyes

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