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Record W3004070157 · doi:10.1017/s071498081900076x

Music Lessons: Exploring the Role and Meaning of Music for Older Adults with Dementia

2020· article· en· W3004070157 on OpenAlexaff
Melanie Elliott, Paula Gardner, Miya Narushima, Lynn McCleary

Bibliographic record

VenueCanadian Journal on Aging / La Revue canadienne du vieillissement · 2020
Typearticle
Languageen
FieldPsychology
TopicMusic Therapy and Health
Canadian institutionsBrock University
Fundersnot available
KeywordsDementiaPsychologyContemplationMeaning (existential)Perspective (graphical)Connection (principal bundle)AestheticsTheme (computing)InsiderExpression (computer science)PsychotherapistVisual artsMedicineEpistemologyArtDiseaseComputer scienceEngineering

Abstract

fetched live from OpenAlex

An aging population and increasing rates of dementia point to the need for alternative strategies that allow individuals to age in place. This multiple case study explored, from an insider's perspective, the role and meaning of music for individuals with dementia who are aging in place. Methods were semi-structured interviews, observations, and videos. The study's central theme is connection, with three types of "connectors" - self, partner, and music - as subthemes. Connection to self involves present moment awareness, accessing memories, and self-expression. Connection to partner builds on self-connection and spending time together with music. Lastly, the connection to music builds on the previous two subthemes as well as the desire to keep things "normal". This study provides insight into the growing body of interdisciplinary literature dedicated to dementia, music, aging in place, and contemplative practices, as well as implications for aging and caring for someone with dementia.

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)0.004
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 score0.004
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0040.004
Scholarly communication0.0020.003
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.040
GPT teacher head0.251
Teacher spread0.211 · 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

Citations14
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal on Aging / La Revue canadienne du vieillissementSame topicMusic Therapy and HealthFrench-language works237,207