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Record W7000602934

Formação, mediação e supervisão: contextos responsáveis pela promoção sustentável de comunidades pacíficas e inclusivas

2020· article· pt· W7000602934 on OpenAlexfundno aff

Bibliographic record

VenueRepositóriUM (Universidade do Minho) · 2020
Typearticle
Languagept
FieldSocial Sciences
TopicEducation Pedagogy and Practices
Canadian institutionsnot available
FundersFundação para a Ciência e a TecnologiaUniversidade do MinhoInternational Council for Canadian Studies
KeywordsPower (physics)Subject (documents)Order (exchange)Test (biology)
DOInot available

Abstract

fetched live from OpenAlex

Nesta obra, essencialmente, procuramos partilhar experiências de projetos vivenciadas pelo conjunto de autores que a compõem, na sua maioria, estudantes finalistas da Licenciatura em Educação e de Mestrado em Mediação Educacional, a remeter para um intervalo de tempo de pensar contextos responsáveis pela promoção sustentável de comunidades pacíficas e inclusivas. É um tempo com memória que adquire no trajeto de construir experiência profissional uma singular acuidade, dominada pela vontade de a considerar com lugar de destaque no contributo à formação de profissionais de educação. Com intuito de os capacitar e autonomizar a partir de pressupostos das Ciências da Educação, enquanto matriz integradora capaz de clarificar o debate em torno das ideias acerca da educação, configuradas pela formação, mediação e supervisão. Os temas que este e-book destaca, e considerando o que referem Goodson e Gill (2011), procuram valorizar a experiência dos seus autores, sublinhando a dimensão pedagógica e considerando ecos e reminiscências do que encerram.

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 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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.262
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0030.001
Scholarly communication0.0010.003
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.099
GPT teacher head0.361
Teacher spread0.262 · 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; both teacher heads agree on what is shown here.

Study designQualitative
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

Citations0
Published2020
Admission routes1
Has abstractyes

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