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Record W4387218196 · doi:10.34119/bjhrv6n5-351

Transição para a vida pós escolar de alunos com NEE: respostas educativas

2023· article· pt· W4387218196 on OpenAlexaff
Maria Celeste de Sousa Lopes, Célia Terroso, Daniela Peixoto, Fernanda Martins

Bibliographic record

VenueBrazilian Journal of Health Review · 2023
Typearticle
Languagept
FieldSocial Sciences
TopicChild Welfare and Adoption
Canadian institutionsImpact
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Esta investigação tem o seu enfoque na problemática da Transição para a Vida Pós-Escolar de Alunos com NEE, nomeadamente as respostas educativas e os recursos implementados pelas escolas. Com base na revisão da literatura, procurou-se perceber a forma como os agrupamentos de escolas se organizam, quais as respostas educativas e que recursos são implementados, de modo a dar cumprimento ao definido na Lei, nomeadamente no que respeita ao Planos Individuais de Transição e à Transição para a Vida Ativa. No estudo empírico contou-se com uma amostra participante de trinta profissionais, envolvidos no processo educativo de alunos a usufruir de Currículo Específico Individual e de Plano Individual de Transição. Foi utilizada a metodologia quantitativa, designadamente inquérito por questionário. O estudo permitiu evidenciar a complexidade intrínseca à Escola, sendo que esta organização não poderá ser a única responsável por todo o processo. A articulação entre escola, família e a comunidade é, portanto, imprescindível.

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)0.012
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.506
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.089
GPT teacher head0.426
Teacher spread0.337 · 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
GenreReview

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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