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Record W2290433605 · doi:10.3928/0148-4834-20001101-06

A Consensus Statement on Critical Thinking in Nursing

2000· article· en· W2290433605 on OpenAlexaboutno aff
Barbara K. Scheffer, M. Gaie Rubenfeld

Bibliographic record

VenueJournal of Nursing Education · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsnot available
Fundersnot available
KeywordsCritical thinkingDelphi methodCreativityPsychologyNursingEpistemologyMedicinePedagogySocial psychologyComputer science

Abstract

fetched live from OpenAlex

The purpose of this study was to define critical thinking in nursing. A Delphi technique with 5 rounds of input was used to achieve this purpose. An international panel of expert nurses from nine countries: Brazil, Canada, England, Iceland, Japan, Korea, Netherlands, Thailand, and 23 states in the U.S. participated in this study between 1995 and 1998. A consensus definition (statement) of critical thinking in nursing was achieved. The panel also identified and defined 10 habits of the mind (affective components) and 7 skills (cognitive components) of critical thinking in nursing. The habits of the mind of critical thinking in nursing included: confidence, contextual perspective, creativity, flexibility, inquisitiveness, intellectual integrity, intuition, open-mindedness, perseverance, and reflection. Skills of critical thinking in nursing included: analyzing, applying standards, discriminating, information seeking, logical reasoning, predicting and transforming knowledge. These findings can be used by practitioners, educators and researchers to advance understanding of the essential role of critical thinking in 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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.199
metaresearch head score (Gemma)0.284
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.199
Threshold uncertainty score0.988

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1990.284
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0030.005
Bibliometrics0.0110.008
Science and technology studies0.0090.011
Scholarly communication0.0100.008
Open science0.0080.016
Research integrity0.0250.036
Insufficient payload (model declined to judge)0.0050.005

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 head0.052
GPT teacher head0.464
Teacher spread0.412 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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

Citations397
Published2000
Admission routes1
Has abstractyes

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