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Record W2015017429 · doi:10.1080/02701961003795748

Implementing a Gerontological Clinical Nursing Practice With an Interdisciplinary Focus: Lessons Learned

2010· article· en· W2015017429 on OpenAlexaff
Sherry Dahlke, Cindy Fehr

Bibliographic record

VenueGerontology & Geriatrics Education · 2010
Typearticle
Languageen
FieldPsychology
TopicAging and Gerontology Research
Canadian institutionsVancouver Island UniversityUniversity of British Columbia
Fundersnot available
KeywordsGerontological nursingNursingClinical PracticeVariety (cybernetics)Medical educationPsychologyFocus groupMedicineGeriatricsSociologyPsychiatry

Abstract

fetched live from OpenAlex

A gerontological clinical nursing practice with an interdisciplinary focus was developed to provide opportunities for student nurses to expand their knowledge about aging, hone assessment skills, and critically examine beliefs about older adults. The practice included theory about older adults and a rotation through a variety of clinical settings where students had practice opportunities with older adults. Based on the written and verbal feedback the authors gathered from students and clinical staff, the authors not only learned that was there improvement in students' knowledge, skills, and interactions with older adults, but they also gained greater understanding of the working of an interdisciplinary team and were able to provide a leadership role to the team through their geriatric assessments and knowledge of older adults.

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)0.008
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.008
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.015
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0030.002
Scholarly communication0.0030.003
Open science0.0030.005
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0010.001

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 head0.137
GPT teacher head0.555
Teacher spread0.418 · 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 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

Citations7
Published2010
Admission routes1
Has abstractyes

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