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Music, dementia and the Organization of knowledge

2020· article· pt· W3112183992 on OpenAlex
D. Grant Campbell

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueInformação & Informação · 2020
Typearticle
Languagept
FieldPsychology
TopicLanguage Acquisition and Education
Canadian institutionsWestern University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsHumanitiesSociologyPhilosophy

Abstract

fetched live from OpenAlex

Introdução: O campo de organização de conhecimento pode ajudar os cuidadores de pessoas com demência, para isso, temos que ajustar teorias e princípios de classificação. Objetivos: Busca-se compreender na perceptiva da organização do conhecimento como a música pode auxiliar pessoas que a capacidade cognitiva foi comprometida. Metodologia: Por meio de entrevistas com cuidadores e evidencias de memorias previamente publicadas e perspectiva da organização do conhecimento fundamentam o estudo. Resultados: Ao analisar essas informações pela teoria de acústica aplicada à música, vê-se que a classificação da informação não é fixa como encontramos numa biblioteca. Conclusões: Com base a trajetória do estudo percebe-se que as relações de conhecimento emergem gradualmente da interação entre o cuidador e a pessoa com demência através de rituais repetidos.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.542
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.002

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 head0.024
GPT teacher head0.285
Teacher spread0.261 · 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