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Record W1555219657 · doi:10.3928/0148-4834-20020401-05

Preceptorship and Critical Thinking in Nursing Education

2002· article· en· W1555219657 on OpenAlexaff
Florence Myrick

Bibliographic record

VenueJournal of Nursing Education · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsCritical thinkingGrounded theoryNursing practiceNursingData collectionPsychologyMedical educationNurse educatorNurse educationProcess (computing)Nursing processMedicinePedagogyQualitative researchSociologyComputer science

Abstract

fetched live from OpenAlex

Although preceptorship is being used increasingly by nursing faculty in the practice setting, little is known about how preceptors teach and even less is known about how critical thinking is being fostered in that relationship. The purpose of this study was to examine the process used in preceptorship to develop and promote the critical thinking ability of baccalaureate nursing students. Using the grounded theory method, this study was conducted in a large tertiary care hospital. Participants included fourth-year baccalaureate nursing students (preceptees) and their staff nurse preceptors. Data collection was composed of semistructured interviews and observations of the preceptors and preceptees as they worked together in the practice setting. Secondary data sources included documents considered appropriate to the study (e.g., nurse notes, student journals). By constant comparative analysis of the data, the findings of this study revealed a process that reflects the enabling of students by preceptors to develop and promote their critical thinking ability in the practice setting.

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)0.006
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.027
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0020.011
Scholarly communication0.0050.003
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.060
GPT teacher head0.428
Teacher spread0.369 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations121
Published2002
Admission routes1
Has abstractyes

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