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Record W2909965699 · doi:10.1111/nin.12281

A humanism for nursing?

2019· article· en· W2909965699 on OpenAlexaff
Graham McCaffrey

Bibliographic record

VenueNursing Inquiry · 2019
Typearticle
Languageen
FieldMedicine
TopicEmpathy and Medical Education
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsHumanismScientismDiscernmentContext (archaeology)EpistemologySociologyObligationSubject (documents)PhilosophyLawPolitical scienceTheologyHistoryComputer science

Abstract

fetched live from OpenAlex

Humanism has appeared intermittently in the nursing literature as a concept that can be used in understanding nursing. I return to the concept in response to noticing the term appearing in the context of health humanities, where it is loosely associated both with humanities and being humane. I review the usage and critiques of humanism in both nursing and medical literature and then re-evaluate what the idea of humanism might hold for nursing, trying to avoid the traps of an over-determination of the human subject, or dichotomizing nursing as art or science, technology or caring. I draw on writings on humanism primarily from Emmanuel Levinas and Edward Said to emphasize strands in humanism of obligation towards others and of critical discernment within history and culture directed towards democratic practices. I discuss in passing the strong association in the UK particularly between humanism and scientism as a note of caution about the plurality of the term humanism. I conclude that humanism is a tradition that does offer productive ways of thinking about nursing with the proviso that it ought to be treated carefully as a problematic tradition and not as a new essence for nursing.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.411
Threshold uncertainty score0.297

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 studies0.0000.000
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 head0.058
GPT teacher head0.392
Teacher spread0.334 · 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

Citations28
Published2019
Admission routes1
Has abstractyes

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