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Record W7044154071

UNIVERSITY - SCHOOL : A TWO-WAY ROAD ?

2003· dissertation· pt· W7044154071 on OpenAlexaboutno aff

Bibliographic record

VenuePortuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) · 2003
Typedissertation
Languagept
FieldMaterials Science
TopicEnzyme Structure and Function
Canadian institutionsnot available
Fundersnot available
KeywordsField (mathematics)General partnershipContinuing education
DOInot available

Abstract

fetched live from OpenAlex

O estudo Universidade e escola: uma via de mão dupla? \npropõe-se a investigar as repercussões da escola na \nuniversidade, via um projeto de parceria para a formação \nde professores. O campo de estudo é o Projeto de Parceria \nUniversidade-Escola para Formação Inicial e Continuada de \nProfissionais da Educação, que vem sendo desenvolvido \npela PUC-Rio em parceria com seis escolas da 2a CRE da \nSME/RJ. Os informantes da pesquisa foram os estudantes e \nprofessores do Curso de Pedagogia e os professores das \nescolas parceiras. O estudo mostra que, apesar de ainda \nser pequena a aproximação da escola com a universidade, \nela se apresenta em reflexões de seus professores e em \nalgumas ações desenvolvidas na interação ensejada por \neste Projeto. \nEstágios mais duradouros e participativos onde os \nestudantes não se comportam como meros expectadores \npossibilitam que estes, ao interagir com professores \nexperientes, tenham melhores possibilidades de \ndesenvolverem uma aprendizagem profissional. Isso permite \nreconhecer os professores experientes das escolas como co-\nformadores. O estudo traz, também, informações de \nestágios realizados pela Universidade Laval do Québec em \nparceria com escolas, apresentando sugestões para \nestágios mais interativos. As análises feitas neste \nestudo permitem apontar a parceria como uma via \npromissora para a formação de professores.

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)0.010
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.229
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0080.010
Science and technology studies0.0050.003
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.045
GPT teacher head0.360
Teacher spread0.314 · 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 designBench or experimental
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
Published2003
Admission routes1
Has abstractyes

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