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Record W2160480628 · doi:10.1177/0733464811433841

Development and Reliability of the Mealtime Social Interaction Measure for Long-Term Care (MSILTC)

2012· article· en· W2160480628 on OpenAlex

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 Applied Gerontology · 2012
Typearticle
Languageen
FieldNursing
TopicNutrition, Health and Food Behavior
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsMeasure (data warehouse)Term (time)Reliability (semiconductor)Long-term carePsychologyGerontologyApplied psychologyMedicineComputer sciencePsychiatry

Abstract

fetched live from OpenAlex

Mealtimes are important social events in retirement (RH) and long term care homes (LTC). This manuscript describes the development, refining and scaling of the MSILTC as well as inter-observer reliability. Two facilities provided access to their RH (n~100) and LTC (n~30-45) dining rooms. This observation-based tool captures both frequency and nature of interactions. Mealtime observations were carried out by trained researchers for development (n=13 tables), refinement (n=12 tables) scaling (n=17 tables) and reliability (n= 30 tables). Tablemate and staff level sub scores are calculated considering number of residents at the table and duration of the meal. Statistical analysis using Cohen's kappa demonstrated that the tool possesses adequate reliability for capturing frequency of interaction among residents and staff [kappa 0.712 and 0.790 respectively]; reliability for nature of interaction was lower [kappa 0.590 and 0.441 respectively]. Construct validity testing is planned to complete the development of the MSILTC.

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)0.000
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 score0.622
Threshold uncertainty score0.284

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.050
GPT teacher head0.343
Teacher spread0.293 · 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