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Record W4312257205 · doi:10.14321/letrfeme.43.2.0221

Ana Isabel: A Respectable Girl

2017· article· es· W4312257205 on OpenAlexaboutno aff
Patricia Vilches

Bibliographic record

VenueLetras Femeninas · 2017
Typearticle
Languagees
FieldSocial Sciences
TopicNationalism and Cultural Identity
Canadian institutionsnot available
Fundersnot available
KeywordsIconGirlArtCitationDownloadArt historyHumanitiesLibrary scienceComputer scienceWorld Wide WebPsychology

Abstract

fetched live from OpenAlex

Book Review| November 01 2017 Ana Isabel: A Respectable Girl Palacios, Antonia. Ana Isabel: A Respectable Girl. Translated by Rose-Anna Mueller. Montreal: Universitas Press, 2016. 113 pp. Patricia Vilches Patricia Vilches Harlaxton College, United Kingdom Search for other works by this author on: This Site Google Letras Femeninas (2017) 43 (2): 221–222. https://doi.org/10.14321/letrfeme.43.2.0221 Cite Icon Cite Share Icon Share Facebook Twitter LinkedIn MailTo Permissions Search Site Citation Patricia Vilches; Ana Isabel: A Respectable Girl. Letras Femeninas 1 November 2017; 43 (2): 221–222. doi: https://doi.org/10.14321/letrfeme.43.2.0221 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 CollectiveMichigan State University PressJournal of Gender and Sexuality Studies / Revista de Estudios de Género y Sexualidades Search Advanced Search The text of this article is only available as a PDF. © 2018 Asociación de Estudios de Género y Sexualidades2018 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)0.005
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: none
Teacher disagreement score0.049
Threshold uncertainty score0.162

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0030.004
Open science0.0010.001
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0490.017

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 head0.042
GPT teacher head0.382
Teacher spread0.340 · 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
Published2017
Admission routes1
Has abstractyes

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