MétaCan
Menu
Back to cohort
Record W3109337206 · doi:10.5965/2357724x08172020281

APRENDER matemáticaS: UM ENCONTRO COM SIGNOS

2020· article· pt· W3109337206 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueRevista BOEM · 2020
Typearticle
Languagept
FieldPsychology
TopicPsychology and Mental Health
Canadian institutionsNovelis (Canada)Discovery Air (Canada)
Fundersnot available
KeywordsHumanitiesPsychologyPhilosophy

Abstract

fetched live from OpenAlex

Este texto tem por objetivo mobilizar a teoria do signo de Gilles Deleuze, junto a algumas ações práticas e teóricas realizadas com os(as) alunos(as) das disciplinas de estágio supervisionado de duas Licenciaturas em Matemática. Por meio de uma escrita (im)pertinente, descompactada e que dança num ritmo descontraído com a vida que acontece na escola, buscamos tensionar, desnaturalizar e provocar outras formas de compreender o aprender matemáticaS, vinculado ao pensar como ação e não como resultado da recognição. Encontramos na proposta deleuziana, tecida com as (im)pertinências produzidas pelos professores em formação inicial, a possibilidade de pensar um aprender com signos, um aprender pelos afectos, em que se manifesta um pensar que nasce e renasce para liberar a afirmação da diferença.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.772
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.016

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 head0.072
GPT teacher head0.373
Teacher spread0.300 · 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