MétaCan
Menu
Back to cohort
Record W1556951738

Entremés de los romances

2002· article· ca· W1556951738 on OpenAlexaboutno aff
Geoffrey Stagg, Daniel Eisenberg

Bibliographic record

VenueCervantes: Bulletin of the Cervantes Society of America · 2002
Typearticle
Languageca
FieldArts and Humanities
TopicComparative Literary Analysis and Criticism
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt
DOInot available

Abstract

fetched live from OpenAlex

Figuras[grados] BARTOLO. BANDURRIO [criado de Bartolo]. ANTON [padre de Bartolo]. DOROTEA [hermana de Bartolo]. TERESA [esposa de Bartolo]. MARI CRESPA [madre de Teresa]. PERICO [hermano de Teresa]. PERO TANTO [viejo]. SIMOCHO [pastor]. MARICA [pastora]. MUSICOS. Salen Mari Crespa, Teresa, Perico y Pero Tanto viejo, vestidos de labradores. MARI CRESPA Diga, senor Pero Tanto, ?eso es verdad? PERO TANTO Mas me espanto, Mari Crespa, que dudeis[grados] mi verdad. MARI CRESPA No os enojeis, que no lo digo por tanto. 5 PERO TANTO Tanto por tanto,[grados] ya os digo que vuestro yerno y amigo quiere partirse a la guerra, y dejar su esposa y tierra, que lo consulto conmigo, 10 De leer el romancero,[grados] ha dado en ser caballero, por imitar los romances, y entiendo que, a pocos lances, sera loco verdadero. 15 Y aunque mas le persuadi, esta tan fuera de si que se ausenta de Teresa. PERICO Porque es mi hermana, me pesa. TERESA iAy, mal casada de mi! 20 Que Bartolo, mi velado, se me quiere hacer soldado. Madre, ?con quien me caso? MARI CRESPA Pues, ?tengo la culpa yo? PERICO iAy, que se va mi cunado! 25 TERESA iAy, mi querido Bartolo! ?Que he de hacer sola? PERICO Y yo, ?que hare yo solo sin ti? MARI CRESPA iAy, Bartolo! PERICO Veisle aqui. Viene a despedirse. TODOS ?Dolo? 30 Sale Bartolo de labrador, y Bandurrio. BARTOLO Ensillenme el potro rucio de mi padre Anton Llorente; denme el tapador de corcho y el gaban de pano verde, el lanzon, en cuyo hierro 35 se han orinado los meses, el casco de calabaza y el vizcaino machete. Y para mi caperuza, las plumas del tordo denme, 40 que, por ser Martin el tordo, serviran de martinetes. Pondrasle el orillo azul que me dio para ponerme Teresa la del Villar, 45 mi mujer, que esta presente. Partete[grados] luego, Bandurrio, y haz que todo se aderece. BANDURRIO Listo voy, que los soldados hemos de ser diligentes. 50 Vase Bandurrio. CRESPA ?Que es aquesto, hijo Bartolo? ?Que es aquesto en que nos metes? Casado de cuatro dias, ?dejar a mi hija quieres? PERICO Senor cunado, no vaya 55 a renir con los ingleses, que tendra mi hermana miedo de noche cuando se acueste. PERO TANTO iEa, Bartolo, no os vais! Mirad que Teresa siente 60 que la dejeis sola y moza. …

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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.110
Threshold uncertainty score0.369

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0080.006
Scholarly communication0.0060.005
Open science0.0010.005
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.1100.030

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 head0.023
GPT teacher head0.232
Teacher spread0.209 · 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

Citations5
Published2002
Admission routes1
Has abstractyes

Explore more

Same venueCervantes: Bulletin of the Cervantes Society of AmericaSame topicComparative Literary Analysis and CriticismFrench-language works237,207