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Da singularidade açoriana: entrevista a Pedro Almeida Maia

2022· article· pt· W4312089377 on OpenAlexaboutno aff
Susana L. M. Antunes

Bibliographic record

VenueScripta · 2022
Typearticle
Languagept
FieldSocial Sciences
TopicMigration, Aging, and Tourism Studies
Canadian institutionsnot available
Fundersnot available
KeywordsArtHumanities

Abstract

fetched live from OpenAlex

Pedro Almeida Maia nasceu em Ponta Delgada, Açores, a 29 de junho de 1979. É psicólogo organizacional e escritor. Cresceu na Canada dos Ingleses, frequentou escolas locais e a Universidade dos Açores, ondes se licenciou em Psicologia. Concluiu o Mestrado Europeu em Psicologia do Trabalho, das Organizações e dos Recursos Humanos nas universidades de Coimbra e de Barcelona, trabalhou na Irlanda e regressou a São Miguel, Açores, em 2017. Entre a família, a profissão e a escrita, Pedro Almeida Maia tem-se revelado um escritor que, ao longo de 10 anos de vida literária, tem surpreendido e desafiado os leitores. Escritor prolífico, amante das artes e das ilhas, a sua escrita concentra, em perfeita simbiose, criatividade e investigação, direcionando a sua sensibilidade para questões atuais e pertinentes. No ano em que celebra 10 anos de vida literária, Pedro Almeida Maia também é detentor de uma fortuna crítica que assegura a sua qualidade como autor singular da nova geração de escritores açorianos que se tem vindo a afirmar. A entrevista que se segue revela a singular universalidade de Pedro Almeida Maia.

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)0.001
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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.316
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
Bibliometrics0.0000.001
Science and technology studies0.0050.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.034
GPT teacher head0.293
Teacher spread0.258 · 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 teacher head, not a consensus.

Study designNot applicable
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
Published2022
Admission routes1
Has abstractyes

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