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A EDUCAÇÃO COM AMOREVOLEZZA: TRANSFORMANDO O ENSINO MÉDIO

2017· article· pt· W2586668084 on OpenAlex
Fernanda Valéria Pereira Moliterno, Guilherme Mariano, Neide Arruda de Oliveira

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 Univap · 2017
Typearticle
Languagept
FieldSocial Sciences
TopicRural and Ethnic Education
Canadian institutionsWSP (Canada)
Fundersnot available
KeywordsHumanitiesPhilosophySociology

Abstract

fetched live from OpenAlex

Rever as deficiências atuais que se inserem no ensino médio de uma escola pública estadual e desenvolver um projeto que possa contribuir para o autocrescimento e aprendizagem dos educandos, a partir dos desafios impostos pela realidade social, econômica e política, além da realidade que esse jovem divide, sendo marginalizado e prejulgado pelo bairro que mora. Deste modo, visa-se fazer a diferença na vida e na construção do indivíduo em sua formação para a cidadania, usando uma metodologia de incentivo com uso de vídeos motivacionais e dinâmicas que favoreçam o crescimento desse jovem, fazendo um trabalho com a pedagogia do amor; Amorevolezza, com o intuito de se fazer mais por esse aluno rotulado pela comunidade onde vive roubando-lhe a perspectiva de futuro.

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 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 score0.387
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 studies0.0030.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.080
GPT teacher head0.379
Teacher spread0.299 · 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