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Record W4232161821 · doi:10.5325/caliope.9.1.0113

<i>Cervantes'</i> Los trabajos de Persiles y Sigismunda: <i>A Study of Genre</i>

2003· article· es· W4232161821 on OpenAlexaboutno aff
Carolyn Lukens-Olson

Bibliographic record

VenueCalíope · 2003
Typearticle
Languagees
FieldArts and Humanities
TopicEarly Modern Spanish Literature
Canadian institutionsnot available
Fundersnot available
KeywordsIconCitationState (computer science)ArtDownloadPublishingHumanitiesArt historyWorld Wide WebLibrary scienceComputer scienceLiteratureAlgorithm

Abstract

fetched live from OpenAlex

Book Review| January 01 2003 Cervantes' Los trabajos de Persiles y Sigismunda: A Study of Genre Sacchetti, Maria Alberta. Cervantes' Los trabajos de Persiles y Sigismunda: A Study of Genre. Madrid: Tamesis, 2001. 208 pp. HB. ISBN 1-85566-077-6. Carolyn Lukens-Olson Carolyn Lukens-Olson Saint Michael's College Search for other works by this author on: This Site Google Calíope (2003) 9 (1): 113–115. https://doi.org/10.5325/caliope.9.1.0113 Cite Icon Cite Share Icon Share Twitter Permissions Search Site Citation Carolyn Lukens-Olson; Cervantes' Los trabajos de Persiles y Sigismunda: A Study of Genre. Calíope 1 January 2003; 9 (1): 113–115. doi: https://doi.org/10.5325/caliope.9.1.0113 Download citation file: Zotero Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All Scholarly Publishing CollectivePenn State University PressCalíope Search Advanced Search The text of this article is only available as a PDF. Copyright © 2003 The Pennsylvania State University2003The Pennsylvania State University Article PDF first page preview Close Modal You do not currently have access to this content.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.023
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.008
Science and technology studies0.0020.003
Scholarly communication0.0050.006
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0230.009

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 head0.020
GPT teacher head0.237
Teacher spread0.217 · 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
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
Published2003
Admission routes1
Has abstractyes

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