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Record W2332610581 · doi:10.1093/mtp/21.2.99

Musical Attention Training Program and Alternating Attention in Brain Injury: An Initial Report

2003· article· en· W2332610581 on OpenAlexaff
Rachel Knox, H. Yokota-Adachi, John R. Kershner, Jeffrey W. Jutai

Bibliographic record

VenueMusic Therapy Perspectives · 2003
Typearticle
Languageen
FieldNeuroscience
TopicEEG and Brain-Computer Interfaces
Canadian institutionsWestern UniversityUniversity of Toronto
Fundersnot available
KeywordsDichotic listeningPsychologyActive listeningMusic therapyAudiologyCognitive psychologyNeuroscienceMedicineCommunicationPsychotherapist

Abstract

fetched live from OpenAlex

The literature has indicated that attention deficits are common problems in brain injured clients. Dichotic listening studies have shown that alternating attention measured with a dichotic listening method is correlated with performance in learning. Using a dichotic listening paradigm, the present preliminary inquiry investigated: (1) the alternating attention ability of a brain injured adolescent; and (2) the effects of alternating attention sessions of a newly-developed music therapy intervention, the Musical Attention Training Program (MATP), on the alternating attention ability in the client. The results indicated that the client's alternating attention patterns were within a normal range; yet, after the musical treatment alternating attention on the dichotic listening test performance was enhanced. Further research is required to explore the potential of the alternating attention sessions of the MATP to influence atypical patterns of attention in brain injured individuals.

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.546
Threshold uncertainty score0.748

Codex and Gemma teacher scores by category

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

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 head0.086
GPT teacher head0.365
Teacher spread0.279 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations27
Published2003
Admission routes1
Has abstractyes

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