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Record W2374018077 · doi:10.15687/rec.2016.v9i1.024038

ENTRE CINEFORMAÇÃO DOCENTE E O CINEMA DE UM CORPO SENSÍVEL:  o que os jovens esperam da escola e de nós professores? 

2016· article· pt· W2374018077 on OpenAlexaff
GOMES L.F.R., CARVALHO J.M.

Bibliographic record

VenueRevista Espaço do Currículo · 2016
Typearticle
Languagept
FieldArts and Humanities
TopicCultural, Media, and Literary Studies
Canadian institutionsNortel (Canada)
Fundersnot available
KeywordsHumanitiesArtMovie theaterArt history

Abstract

fetched live from OpenAlex

This text is a composite of images and woven talks with a group of teachers from a school in the city of Vitória-ES, in a survey completed in 2015.It questions from conversations with teachers, through the intercession of the images movie (virtual) and school pictures (today), what young people expect from school and we professores.Toma as theoretical intercessors Deleuze (2007) and his perspective of the world as a metacinema, Corazza (2008) and the discussion of teaching.Methodologically, to mobilize the cartographic research (CARVALHO, 2008), using as a trigger conversations the film "Like Stars on Earth" and monitoring of the school routine.It concludes that the cineformação teachers denounce be surrounded by speeches that try to automate thinking to expect ready and obedient students.Their narratives pierce the clichés and allow sensitive images envisage, in the time stream, a makeup plan.Similarly, the people-young breaks the clichés you'd expect from the school, is not to be supposed as a people, predetermined, but part of the inventions of its constituent movements.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.006
Scholarly communication0.0060.003
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.028
GPT teacher head0.271
Teacher spread0.243 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2016
Admission routes1
Has abstractyes

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