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Record W3216747679 · doi:10.46919/archv2n7-001

Contribuições da avaliação neuropsicológica na qualificação dos sintomas do transtorno do espectro autista: Subsídios para o projeto terapêutico e educacional

2021· article· pt· W3216747679 on OpenAlex

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.

Bibliographic record

VenueJournal Archives of Health · 2021
Typearticle
Languagept
FieldSocial Sciences
TopicInternational Relations and Autism
Canadian institutionsThinkpath Engineering Services (Canada)
Fundersnot available
KeywordsHumanitiesPhysicsPsychologyPhilosophy

Abstract

fetched live from OpenAlex

O Transtorno do Espectro Autista – TEA caracteriza-se pelo comprometimento da comunicação social e presença de comportamentos repetitivos e estereotipados que conferem variados graus de prejuízo funcional. O objetivo desse trabalho é narrar o processo de avaliação neuropsicológica de uma criança com diagnóstico de TEA. Participou desse estudo um menino de seis anos, cursando o primeiro ano do ensino fundamental. Foram realizadas seis sessões de avaliação incluindo entrevistas com os pais, interlocução com a escola, observações do comportamento e administração de testes. Os resultados indicaram deficiência intelectual. A avaliação permitiu estabelecer o perfil cognitivo, bem como ampliar o conhecimento sobre interesses e pontos fortes no contato. Além da orientação para os pais indicaram-se condutas posteriores relacionadas ao apoio sistemático educacional, sobretudo no que diz respeito a adaptações nas atividades escolares, necessidade de pareamento concreto na apresentação destas e recursos lúdicos para alcançar minimamente o acesso à função simbólica.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.686
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.061
GPT teacher head0.376
Teacher spread0.315 · 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