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Record W2741485591 · doi:10.1515/ijnes-2016-0026

Contested Practice: Political Activism in Nursing and Implications for Nursing Education

2017· review· en· W2741485591 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInternational Journal of Nursing Education Scholarship · 2017
Typereview
Languageen
FieldNursing
TopicNursing Education, Practice, and Leadership
Canadian institutionsYork UniversityTrent University
Fundersnot available
KeywordsMandateNurse educationNursingPoliticsNursing researchSociologyPolitical scienceMedicineLaw

Abstract

fetched live from OpenAlex

Canadian nurses have a social mandate to address health inequities for the populations they serve, as well as to speak out on professional and broader social issues. Although Canadian nursing education supports the role of nurses as advocates for social justice and leadership for health care reform, little is known about how nurse educators understand activism and how this translates in the classroom. A comparative life history study using purposeful sampling and a critical feminist lens was undertaken to explore political activism in nursing and how nurse educators foster political practice among their students. Findings from interviews and focus groups with 26 Ontario nurse educators and nursing students suggested that neoliberal dynamics in both the practice setting and in higher education have constrained nurses' activist practice and favour a technical rational approach to nursing education. Implications and strategies to inspire political action in nursing education are discussed.

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.

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)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.965
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.000
Science and technology studies0.0010.001
Scholarly communication0.0020.004
Open science0.0010.000
Research integrity0.0010.002
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 head0.219
GPT teacher head0.565
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