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Record W4296007377 · doi:10.4322/gepem.2022.029

A escrita do professor: contribuições da SBEM-SC

2022· article· pt· W4296007377 on OpenAlex
Morgana Scheller, Marisol Vieira Melo, Bruna Larissa Cecco, Djeison Machado, Araceli Gonçalves

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

VenueBoletim GEPEM · 2022
Typearticle
Languagept
FieldArts and Humanities
TopicLinguistics and Education Research
Canadian institutionsEastern Ontario Training Board
Fundersnot available
KeywordsPsychology

Abstract

fetched live from OpenAlex

O presente texto visa apresentar considerações e reflexões acerca de uma ação formativa planejada com intuito de corroborar com os processos de escrita do (futuro) professor que ensina matemática. No movimento empreendido, trazemos distintas percepções dos que se aventuraram na ação formativa: participante-cursista, professoras colaboradoras de um módulo e da coordenação. Em meio a histórias, registros do que ocorreu e as memórias, percebemos que os envolvidos na ação, sejam eles os proponentes, os professores ministrantes dos módulos ou os cursistas, tiveram aprendizagens (coletivas). Esse processo formativo alcançou as várias regiões do estado de Santa Catarina e sujeitos de diferentes formações, que destacam a qualidade do desenvolvido e uma intencionalidade capaz de ressoar na prática dos participantes que buscaram nela aprendizagem e aprofundamento da temática. Por fim, destacamos que a formação se constituiu em uma aventura e que ações como esta são potenciais que podem se estabelecer em uma política-pública de formação, pois seu modelo atende às expectativas dos participantes.

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), Science and technology studies, Scholarly communication, 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: Other · Consensus signal: none
Teacher disagreement score0.510
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0600.001

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 head0.070
GPT teacher head0.327
Teacher spread0.257 · 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