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Sobre literatura y multiculturalismo

2006· article· es· W2097972248 on OpenAlexaboutno aff
Claudia Lucotti, Laura López Morales

Bibliographic record

VenueRedalyc (Universidad Autónoma del Estado de México) · 2006
Typearticle
Languagees
FieldArts and Humanities
TopicCultural and Social Studies in Latin America
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Los comentarios que siguen se desprenden de la lectura de los libros citados en la bibliografia, que se publicaron entre los anos de 2003 y 2004. Las obras en cuestion abordan temas de gran vigencia en el panorama literario y cultural de Canada, por ejemplo, el problema de la narratividad y el multiculturalismo. Por otra parte, la inclusion de obras escritas en las dos lenguas oficiales de Canada enfatiza la riqueza de publicaciones y la diversidad de intereses que aquejan a estos ensayistas. La primera parte de nuestros comentarios toca temas relacionados con la literatura, la segunda discute el problema de la identidad. Sin embargo, hay que afirmar que, no obstante que la primera parte aborde los problemas de la literatura, el hilo conductor de los titulos aqui comentados es la identidad. La razon es simple: el impacto de este problema es perceptible en practicamente todos los espacios de reflexion de la sociedad canadiense

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)0.005
metaresearch head score (Gemma)0.010
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: none
Teacher disagreement score0.088
Threshold uncertainty score0.175

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0100.017
Science and technology studies0.0110.023
Scholarly communication0.0170.014
Open science0.0010.007
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0080.001

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 head0.016
GPT teacher head0.231
Teacher spread0.215 · 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
Published2006
Admission routes1
Has abstractyes

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