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Record W2470713755 · doi:10.1590/0103-18134464147581

A relação dos adolescentes com a escrita extraescolar e escolar - inclusão e exclusão por via da escrita

2015· article· pt· W2470713755 on OpenAlexaff
Inês Cardoso, Luí­sa Álvares Pereira

Bibliographic record

VenueTrabalhos em Linguística Aplicada · 2015
Typearticle
Languagept
FieldArts and Humanities
TopicLinguistics and Education Research
Canadian institutionsYork University
Fundersnot available
KeywordsHumanitiesPsychologyPhilosophy

Abstract

fetched live from OpenAlex

Neste artigo, partimos de alguns apontamentos sobre o desenvolvimento do ensino-aprendizagem da escrita em Portugal, sintetizando diferentes enfoques investigativos. Assumiremos as dimensões cognitivas, pessoais e sociais da escrita e baseamo-nos no pressuposto de que deve estar subjacente ao processo de aprender e ensinar a escrever, numa perspetiva multifuncional e processual, o conhecimento sobre a relação dos alunos com a escrita, em contextos escolares e extraescolares. Do dispositivo metodológico montado, centramo-nos numa oficina sobre a escrita com adolescentes e na descrição de dimensões que configuram a complexidade das suas relações com a escrita. Chegámos, assim, à conceptualização de três ideais-tipo de relação com a escrita, que se constituem em modos de interpretar este fenómeno pluridimensional e instável, e são suscetíveis de fornecer pistas para um ensino mais inclusivo da produção escrita, produzindo uma relação mais positiva dos alunos com este modo de expressão.

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)0.002
metaresearch head score (Gemma)0.009
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0040.004
Scholarly communication0.0070.003
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.106
GPT teacher head0.327
Teacher spread0.220 · 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

Citations3
Published2015
Admission routes1
Has abstractyes

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