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Record W2326306966 · doi:10.1386/jmte.7.2.123_1

Sing-a-long DVD and activity package pilot study with older adults

2014· article· en· W2326306966 on OpenAlexaffabout
Amy Clements-Cortés

Bibliographic record

VenueJournal of Music Technology and Education · 2014
Typearticle
Languageen
FieldPsychology
TopicMusic Therapy and Health
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsFacilitatorReminiscenceSingingPsychologyGerontologyQuality of life (healthcare)Retirement communityFocus groupRecreationMedicinePsychotherapistSocial psychology

Abstract

fetched live from OpenAlex

Abstract This study investigated the utilization of an original sing-a-long DVD and activity package titled ‘Sing-A-Long of the 1930s’ to engage older adults’ participation in singing and therapeutic recreation activities. Participants (n=693) included a combination of persons residing and/or working at 25 long-term care facilities, retirement homes and adult day care centres across Canada engaging in a DVD sing-a-long and activity programme for five weeks. Following this experience, participants were individually interviewed or took part in one of 25 focus groups. The results focused on participant, caregiver and DVD facilitator’s perceived benefits and indicate the DVD was successful in engaging older adults with cognitive impairment in singing, social interaction and discussion, participation in meaningful activity, reminiscence, sensory stimulation, and quality of life in 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.

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)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.020
GPT teacher head0.314
Teacher spread0.295 · 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 designNon-randomized trial
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

Citations4
Published2014
Admission routes2
Has abstractyes

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