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APRESENTAÇÃO

2015· article· pt· W4249243233 on OpenAlexaboutno aff
Juliano Santos do Carmo

Bibliographic record

VenueDissertatio · 2015
Typearticle
Languagept
FieldPsychology
TopicPsychology and Mental Health
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

O “Workshop on Naturalism” é um evento internacional e bianual do Programa de Pós-Graduação em Filosofia da Universidade Federal de Pelotas, cujo objetivo é reunir pesquisadores do Brasil e do exterior para discutir e divulgar os mais recentes resultados da pesquisa sobre o Naturalismo nas mais diversas áreas de interesse filosófico. A segunda edição deste evento foi realizada em dezembro de 2014 e contou com a participação dos seguintes pesquisadores: Prof. Dr. Mark Timmons (Universidade do Arizona - Estados Unidos), Prof. Dr. Mauro Rossi (Universidade de Quebec em Montreal - Canadá), Prof. Dr. Jack Ritchie (Universidade da Cidade do Cabo - África do Sul), Prof. Dr. José Blaunde (Universidade Eduardo Mondlane - Moçambique), Prof. Dr. Andrew Eshleman (Universidade de Portland - Estados Unidos), Prof. Dr. Helmut Heit (Universidade Técnica de Berlim - Alemanha), Profa. Dra. Mónica Herrera (Universidade da República - Uruguai), Prof. Dr. Prof. Dr. Adriano Naves de Brito (Universidade do Vale do Rio dos Sinos), Prof. Dr. Marco Azevedo (Universidade do Vale do Rio dos Sinos), Profa. Dra. Sofia Stein (Universidade do Vale do Rio dos Sinos), Prof. Dr. Luis Rosa (Pontifícia Universidade Católica do Rio Grande do Sul), Profa. Dra. Cinara Nahra (Universidade Federal do Rio Grande do Norte), Prof. Dr. Evandro Barbosa (Universidade Federal de Pelotas), Profa. Dra. Flávia Carvalho Chagas (Universidade Federal de Pelotas), Prof. Dr. Robinson dos Santos (Universidade Federal de Pelotas), Prof. Dr. Clademir Araldi (Universidade Federal de Pelotas), Prof. Dr. Pedro Leite Jr. (Universidade Federal de Pelotas) e Prof. Carlos Miraglia (Universidade Federal de Pelotas).

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)0.009
metaresearch head score (Gemma)0.035
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.158
Threshold uncertainty score0.529

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.035
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0050.003
Scholarly communication0.0110.007
Open science0.0030.008
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.1580.067

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 head0.160
GPT teacher head0.479
Teacher spread0.319 · 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 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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