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Record W2972336790 · doi:10.5216/sig.v32.61708

Movimentos de subjetivação da criança na aquisição da escrita: uma discussão voltada às rasuras

2020· article· pt· W2972336790 on OpenAlexaff
Letícia do Nascimento Schavarem, Pascoalina Bailon de Oliveira Saleh

Bibliographic record

VenueSignótica · 2020
Typearticle
Languagept
FieldArts and Humanities
TopicLinguistics and Education Research
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsPhilosophyHumanitiesPsychology

Abstract

fetched live from OpenAlex

Neste estudo propomos uma discussão sobre as rasuras presentes nos textos de crianças que se encontram em aquisição da escrita e apresentam dificuldades nesse processo, sendo, por isso, encaminhadas à clínica fonoaudiológica e/ou inseridas em turmas de contraturno. A perspectiva que sustenta esta discussão é o Interacionismo em aquisição da linguagem, proposto por De Lemos (1992, 1999, 2002). O objetivo do estudo é investigar os movimentos de subjetivação indiciados pela presença de rasuras na elaboração de textos produzidos por essas crianças. A análise aponta dois movimentos da criança: de independência da escrita do Outro e de relativa dependência do texto escrito que vem do Outro.

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)0.008
metaresearch head score (Gemma)0.026
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 score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.026
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0060.017
Scholarly communication0.0100.010
Open science0.0010.007
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.001

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 head0.114
GPT teacher head0.324
Teacher spread0.211 · 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
Published2020
Admission routes1
Has abstractyes

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