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Undergraduate Nursing Students' Knowledge of and Attitudes Toward Aging: Comparison of Context-Based Learning and a Traditional Program

2007· article· en· W105621199 on OpenAlex
Beverly Williams, Marjorie Anderson, Rene Day

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

VenueJournal of Nursing Education · 2007
Typearticle
Languageen
FieldPsychology
TopicAging and Gerontology Research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCurriculumContext (archaeology)Maturity (psychological)PsychologyMedical educationGerontologyMedicinePedagogyDevelopmental psychology

Abstract

fetched live from OpenAlex

The purpose of this study was to investigate nursing students' knowledge of and attitudes toward older adults in the first and fourth years of a baccalaureate program, following the introduction of a context-based learning (CBL) curriculum, and to compare the fourth-year CBL student findings to those of fourth-year students in the final year of the traditional, lecture-based baccalaureate program. The Facts on Aging Questionnaire was used to assess knowledge, and the Aging Semantic Differential was used to assess attitudes toward aging related to societal influences. Although there were differences in knowledge and attitudes between fourth-year CBL and fourth-year traditional students, the differences were not significant. These findings support earlier work that an integrated curriculum may not significantly improve knowledge of age-related changes nor positively influence attitudes that are already positive. The Reactions to Ageing Questionnaire was used to examine students' attitudes toward personal aging. There was a significant positive increase in CBL students' attitudes toward personal aging from the first to fourth years of the program. This suggests that CBL learning fosters an inner maturity toward personal aging.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.616
Threshold uncertainty score0.330

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.158
GPT teacher head0.541
Teacher spread0.383 · 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