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Record W1659487573

TRADUÇÃO E VALIDAÇÃO DE CONTEÚDO DE UMA BATERIA DE TESTES PARA AVALIAÇÃO DE AMUSIA

2010· article· en· W1659487573 on OpenAlexaboutno aff
Marília Nunes, Cybelle Maria Veiga Loureiro, Maurício Alves Loureiro, Vítor Geraldi Haase

Bibliographic record

VenueDialnet (Universidad de la Rioja) · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Music Education Insights
Canadian institutionsnot available
Fundersnot available
KeywordsPsychology
DOInot available

Abstract

fetched live from OpenAlex

This study aimed to perform a cultural adaptation of the Montreal Battery of Evaluation of Amusia - MBEA, which constitutes a battery of tests that evaluates musical functions, in order to adapt them to the population of Brazilian adolescents. Research was conducted in three stages: conceptual equivalence, items equivalence and semantic equivalence. The study included 20 non-expert judges and 6 expert judges, responsible for assessing the items of MBEA and their constructs. In the analysis of content, there were high rates of agreement among the judges, except for the constructs of scale and intervals. Considering focus groups, it was observed that adolescents associated the items with classical music, but this did not affect their understanding of the test. Concerning cultural equivalence, 70% of the items had high rates of agreement among judges. Regarding semantic equivalence, there were no significant differences between the back translation and the original version. We conclude to be appropriate to maintain the original items of the test because, in addition to being comprehensible to the target population, they are made within the Western tonal system, which is used in both cultures.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.818
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
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.000

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 head0.037
GPT teacher head0.260
Teacher spread0.223 · 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.

Study designNot applicable
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

Citations3
Published2010
Admission routes1
Has abstractyes

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