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Record W4411943202 · doi:10.22456/1982-8918.127919

Desenvolvimento profissional docente colaborativo em Educação Física

2022· article· pt· W4411943202 on OpenAlex
Luiza Lana Gonçalves, Carla Luguetti, Cécilia Borges

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

VenueMovimento (Porto Alegre) · 2022
Typearticle
Languagept
FieldSocial Sciences
TopicPhysical Education and Sports Studies
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsPsychologyComputer scienceMathematics education

Abstract

fetched live from OpenAlex

Práticas colaborativas no desenvolvimento profissional docente em Educação Física (DPD-EF) têm sido cada vez mais apoiadas devido aos benefícios reconhecidos para professores e alunos. Ao apresentar esta seção Em Foco, este artigo visa ampliar e aprofundar as conversas entre pesquisadores sobre as práticas colaborativas no DPD-EF. Codesenhado como um projeto colaborativo de dois anos sobre práticas colaborativas, esta edição especial buscou colaboração e solidariedade, compartilhamento de conhecimento e negociação de desafios na internacionalização da pesquisa. Pesquisadores do Brasil, Austrália, Canadá, Irlanda, Portugal, Nova Zelândia, Estados Unidos e Turquia trabalharam em seis grupos para discutir quatro temas: (a) tipos de DPD-EF colaborativo, (b) facilitação de DPD-EF, (c) metodologias inovadoras e, (d) o desenvolvimento de experiências colaborativas. Ao final, esperamos destacar os desafios e contribuições que podem melhorar as pesquisas e experiências daqueles que formam, concebem e participam de práticas colaborativas de DPD-EF em todo o mundo.

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, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.225
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0040.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0220.001

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 head0.043
GPT teacher head0.350
Teacher spread0.307 · 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