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Record W2753166867

Desafios e aprendizados na bagagem

2015· article· pt· W2753166867 on OpenAlexaboutno aff
Carine Simas, Melina Leite

Bibliographic record

Venuenot available
Typearticle
Languagept
FieldSocial Sciences
TopicEducation and Digital Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesGeographyArt
DOInot available

Abstract

fetched live from OpenAlex

A proveitar a oportunidade de estudar forae adquirir o maximo de conhecimentopossivel. Esse pensamento e unânime entre os estudantes do IFRS que participam ou ja participaram do Ciencia Sem Fronteiras (CSF) e do Programa de Licenciaturas Internacionais (PLI). Os destinos do CSF sao muitos: Australia, Canada, Chile, Espanha, Estados Unidos, Franca, Holanda, Irlanda, Italia e Noruega. Os alunos do PLI foram todos para Portugal, mas engana-se quem pensa que, por se tratar de um pais de fala portuguesa, os desafis sao menores. Estar longe da familia, de amigos, da cultura em que se esta acostumado nao e facil. E apesar da familiaridade, a lingua “prega algumas pecas”, como descobriram rapidamente os estudantes do Câmpus Bento Goncalves que desembarcaram no pais lusitano em setembro de 2013. Apos chegar ao aeroporto, o grupo de sete estudantes precisou tomar um metro e um trem ate a cidade destino: Aveiro. No caminho, de uma hora e 30 minutos, nada mais natural do que irem conversando. “Durante todo o trajeto, usamos expressoes normais para nos como ‘fazer um bico’ ou ‘pagar 50 pilas’. Os portugueses nos olhavam de maneira diferente. Achamos que fosse pela grande quantidade de malas. Mais tarde, ja em Aveiro, descobrimos que aquelas expressoes inocentes para nos tem um signifiado malicioso para os portugueses”, lembra a academica de matematica Priscila Nunes dos Santos, de 20 anos. “Ha tambem as palavras iguais com sentidos diferentes ou nomes distintos para a mesma coisa, que normalmente resultam em situacoes. Continue lendo...

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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: Other · Consensus signal: none
Teacher disagreement score0.730
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.004

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 head0.218
GPT teacher head0.395
Teacher spread0.177 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2015
Admission routes1
Has abstractyes

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