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Record W92322228

Cognitive apprenticeship: laying the groundwork for mentoring registered nurses in the intensive care unit.

2007· article· en· W92322228 on OpenAlexaff
Penny Nickle

Bibliographic record

VenuePubMed · 2007
Typearticle
Languageen
FieldPsychology
TopicMentoring and Academic Development
Canadian institutionsRockyview General Hospital
Fundersnot available
KeywordsMentorshipSocializationApprenticeshipCognitive apprenticeshipVaguenessPsychologyNursingIntensive care unitCognitionUnit (ring theory)Professional developmentMedical educationMedicinePedagogySocial psychologyComputer scienceMathematics education
DOInot available

Abstract

fetched live from OpenAlex

Professional nursing practice within the intensive care unit (ICU) requires the registered nurse (RN) to demonstrate evidence of critical thought for the various treatments provided. A sound theoretical knowledge base, coupled with sensitivity to the socio-cultural influences within this often emotionally charged atmosphere is foundational to the provision of excellent patient care. Mentorship is one educational strategy that attempts to integrate skill development with the socialization of a novice ICU RN. However, vagueness surrounding what encompasses the mentor-mentee relationship may prevent employees from entering into these unions. In this article, I present an original mentorship model based on the concept of cognitive apprenticeship, as described by Collins, Brown, and Holum (1991). I identify the learning theories that inform this approach to professional development and conclude with select recommendations for implementation of a mentorship program within the ICU.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.634
Threshold uncertainty score0.368

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 head0.140
GPT teacher head0.371
Teacher spread0.231 · 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

Citations10
Published2007
Admission routes1
Has abstractyes

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