MétaCan
Menu
Back to cohort
Record W2940176885 · doi:10.1080/14753820.2019.1646556

Reviews of Books

2019· article· en· W2940176885 on OpenAlexaff
Eliot Raynor, Rebeca Sanmartín Bastida, María Morrás, Alexander S. Wilkinson, A. Robert Lauer, Mónica Leoni, Barry Taylor, Mariano de la Campa Gutiérrez, Hilaire Kallendorf, Duncan Wheeler, Marco Presotto, Lynn Williams, Nigel Griffin, Joaquín Álvarez Barrientos, Geraldine Lawless, Francisco J. Romero Salvadó, Danny Evans, Jan E. Evans, Jordi Larios, Michael Thompson, Anne L. Walsh, Gareth Wood, Pablo García, Glen Carman, Luke Ritter, Lourdes Parra Lazcano, Ariel de la Fuente, Evelyn Fishburn, Linnete Manrique

Bibliographic record

VenueBulletin of Spanish Studies · 2019
Typearticle
Languageen
FieldEngineering
TopicHuman auditory perception and evaluation
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsArtHistoryClassics

Abstract

fetched live from OpenAlex

Español y portugués en contacto: préstamos léxicos e interferencias. Editado por Dolores Corbella Díaz y Alejandro Fajardo. Berlin/Boston: De Gruyter. 2017. x + 430 pp.The study of contact phenomen...

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.533
Threshold uncertainty score0.667

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0110.018
Science and technology studies0.0020.001
Scholarly communication0.0080.004
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.5330.407

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 head0.047
GPT teacher head0.284
Teacher spread0.237 · 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.

Study designNot applicable
Domainnot available
GenreReview

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
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueBulletin of Spanish StudiesSame topicHuman auditory perception and evaluationFrench-language works237,207