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Record W2111571258 · doi:10.5770/cgj.17.54

Geriatric Rehabilitation Patients’ Perceptions of Unit Dining Locations

2014· article· en· W2111571258 on OpenAlexaffvenue
Françoise Baptiste, Mary Egan, Claire-Jehanne Dubouloz-Wilner

Bibliographic record

VenueCanadian Geriatrics Journal · 2014
Typearticle
Languageen
FieldMedicine
TopicNutrition and Health in Aging
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMedicineFeelingPerceptionRehabilitationExploratory researchUnit (ring theory)NursingQualitative researchGerontologyPhysical therapyPsychologySocial psychology

Abstract

fetched live from OpenAlex

BACKGROUND: Eating together is promoted among hospitalized seniors to improve their nutrition. This study aimed to understand geriatric patients' perceptions regarding meals in a common dining area versus at the bedside. METHODS: An exploratory qualitative study was conducted. Open-ended questions were asked of eight patients recruited from a geriatric rehabilitation unit where patients had a choice of meal location. RESULTS: Eating location was influenced by compliance with the perceived rules of the unit, physical and emotional well-being, and quarantine orders. Certain participants preferred eating in the common dining room where they had more assistance from hospital staff, a more attractive physical environment, and the opportunity to socialize. However, other participants preferred eating at their bedsides, feeling the quality of social interaction was poor in the dining room. CONCLUSIONS: Participants' experiences of, and preferences for, communal dining differed. If the benefits of communal dining are to be maximized, different experiences of this practice must be considered.

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)0.002
metaresearch head score (Gemma)0.005
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.020
GPT teacher head0.290
Teacher spread0.271 · 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

Citations18
Published2014
Admission routes2
Has abstractyes

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Same venueCanadian Geriatrics JournalSame topicNutrition and Health in AgingFrench-language works237,207