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Record W2592279918 · doi:10.14393/er-v24n1a2017-9

Leitura e educação literária: da viagem possível às restrições do mapa

2017· article· pt· W2592279918 on OpenAlexfundno aff
Ângela Balça, Paulo Costa

Bibliographic record

VenueEnsino em Re-Vista · 2017
Typearticle
Languagept
FieldComputer Science
TopicEducational Methods and Media Use
Canadian institutionsnot available
FundersEuropean Regional Development FundFundação para a Ciência e a TecnologiaUniversidade do MinhoInternational Council for Canadian Studies
KeywordsNormativeReading (process)Promotion (chess)LimitingPortuguesePedagogyPsychologyHumanitiesSociologyPolitical sciencePhilosophyEpistemologyLinguisticsEngineeringLaw

Abstract

fetched live from OpenAlex

Starting from the discussion of the reading concepts and literary education, this text intends to present a critical vision of the latest normative documents for Portuguese discipline in Basic Education concerning those areas. Its form and content, as well as its relationship with certain dominant assessment practices can be configured as potentially restrictive elements of professional teacher competencies, of the potential that reading and literary education would make possible, and of the formation of students, in the broadest sense. We seek, in our reflection, to highlight the aspects that, in our opinion, seem to be the most restrictive and limiting in the opening to the possibility of more flexible and adjusted practices to learning contexts and therefore the major obstacles tothe formation of critical readers and to the promotion of an effective literary education.

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)0.009
metaresearch head score (Gemma)0.028
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.028
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0060.021
Scholarly communication0.0170.013
Open science0.0010.008
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0070.002

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 head0.086
GPT teacher head0.379
Teacher spread0.293 · 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 designNot applicable
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
Published2017
Admission routes1
Has abstractyes

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