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The influence of liberal political ideology on nursing science

2001· review· en· W2046807499 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueNursing Inquiry · 2001
Typereview
Languageen
FieldNursing
TopicNursing Education, Practice, and Leadership
Canadian institutionsUniversity of Northern British Columbia
FundersKillam Trusts
KeywordsIdeologyEgalitarianismIndividualismLiberalismNeutralityPoliticsSociologyStatus quoPositive economicsSocial sciencePolitical scienceEnvironmental ethicsEpistemologyLawEconomicsPhilosophy

Abstract

fetched live from OpenAlex

Previous notions of science as impartial and value-neutral have been refuted by contemporary views of science as influenced by social, political and ideological values. By locating nursing science in the dominant political ideology of liberalism, the author examines how nursing knowledge is influenced by liberal philosophical assumptions. The central tenets of liberal political philosophy - individualism, egalitarianism, freedom, tolerance, neutrality, and a free-market economy - are primarily manifested in relation to: (i) the individualistic focus of our science; (ii) our view of society as essentially egalitarian and equitable; (iii) our preference for politically neutral knowledge development, and (iv) an economy of knowledge development that supports rather than challenges the status quo. I argue that exposing, rather than ignoring, the liberal ideological values inherent in nursing science will render these assumptions open to debate, stimulate ongoing development of critically oriented knowledge, and increase our capacity to influence the social, political and economic determinants of health.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.952
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.011
Scholarly communication0.0000.001
Open science0.0020.000
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 head0.114
GPT teacher head0.447
Teacher spread0.333 · 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