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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 OpenAlex
Sherry Dahlke, Cindy Fehr

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

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.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.805
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.137
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