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Record W4386887615 · doi:10.34117/bjdv9n9-074

Experiência de inclusão de aluno com TEA na equipe de robótica competitiva em nível escolar

2023· article· pt· W4386887615 on OpenAlexaff
Bruno Leal De Souza

Bibliographic record

VenueBrazilian Journal of Development · 2023
Typearticle
Languagept
FieldSocial Sciences
TopicInternational Relations and Autism
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsHumanitiesPsychologyNursingPedagogySociologyPhilosophyMedicine

Abstract

fetched live from OpenAlex

O texto aborda a importância da inclusão de pessoas com TEA na robótica como forma de promover a inclusão social e valorização das capacidades individuais. Durante o processo de inclusão de um jovem autista, foram aprendidas diversas lições sobre a observação das relações em grupo, ações individuais, comunicação clara e objetiva, estabelecimento de metas realistas, boas relações interpessoais, cuidado com o outro e empatia. A aprendizagem em grupo pode ser um instrumento importante para a promoção da inclusão e valorização das capacidades individuais.

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)0.005
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.019
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0050.004
Scholarly communication0.0060.003
Open science0.0020.006
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0100.002

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 head0.026
GPT teacher head0.326
Teacher spread0.299 · 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 designQualitative
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
Published2023
Admission routes1
Has abstractyes

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