MétaCan
Menu
Back to cohort

Nas partituras das emoções: processamento de estímulos afetivos musicais e visuais em crianças e adolescentes com Síndrome de Williams

2018· dissertation· pt· W2802112510 on OpenAlexaboutno aff
Nara Côrtes Andrade

Bibliographic record

Venuenot available
Typedissertation
Languagept
FieldNeuroscience
TopicWilliams Syndrome Research
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyNeuropsychologyCognitionFacial expressionCognitive psychologyPopulationWilliams syndromeEmotion perceptionDevelopmental psychologyNeuroscienceCommunication

Abstract

fetched live from OpenAlex

Orientadora: Profª.Drª.Emma Otta Co-orientadora: Profª.Drª.Nayara Argollo AGRADECIMENTOS Agradeço, em primeiro lugar, a todos aqueles que dispuseram do seu tempo para concretizar esta pesquisa, crianças, adolescentes e familiares.À Associação Brasileira de Síndrome de Williams (ABSW), em especial a Silvana Nascimento e Jô Nunes, que realizam uma ação sem precedentes de acolhimento às famílias com Síndrome de William.Agradecemos ao papel desempenhado pela ABSW no fomento às interlocuções profícuas entre universidade e sociedade na perspectiva de promoção de saúde e bem-estar das famílias com SW.Agradeço em especial à Profª Emma Otta, que depositou em mim a sua confiança, provocando questionamentos e perguntas de pesquisa, mas acima de tudo acolhendo as inquietações acadêmicas e as demandas pessoais que surgiram no decorrer desta caminhada.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.039
GPT teacher head0.365
Teacher spread0.327 · 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 designObservational
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

Citations0
Published2018
Admission routes1
Has abstractyes

Explore more

Same topicWilliams Syndrome ResearchFrench-language works237,207