MétaCan
Menu
Back to cohort
Record W2114836161 · doi:10.1177/08943180222108660

Ambiguous Opportunity: Toiling for Truth of Nursing Art and Science

2002· article· en· W2114836161 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.

Bibliographic record

VenueNursing Science Quarterly · 2002
Typearticle
Languageen
FieldArts and Humanities
TopicArt Therapy and Mental Health
Canadian institutionsHealth Sciences CentreUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsMeaning (existential)HermeneuticsAmbiguityEpistemologyAction (physics)SociologyNursing theoryNursingPsychologyMedicineMEDLINEPhilosophyLinguistics

Abstract

fetched live from OpenAlex

This article questions traditional boundaries between nursing art and nursing science and explores how nurses build knowledge and truth. A brief overview of familiar notions about nursing art is followed by questions that are meant to deepen understanding about nursing and the knowledge required for a discipline. Authors describe understanding as an event that heralds human creation of meaning and potential action. Art is then shown to be a way to enhance understanding and meaningful knowledge when woven with nursing theory to guide practice. Findings from Parse's research method are described as artistic expressions, and borders that have served to separate notions about nursing art and science are challenged. The hermeneutics of human becoming are presented as beacons for truth and understanding. Authors call for tolerance of ambiguity and openness to support dialogue and discovery.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.632
Threshold uncertainty score0.999

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 studies0.0020.006
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 head0.114
GPT teacher head0.339
Teacher spread0.226 · 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