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Record W3214778325 · doi:10.21555/rpc.vi2.2437

La cobertura informativa al Tercer Centenario de El Ingenioso Hidalgo Don Quijote de la Mancha en la prensa mexicana (1903-1905)

2021· article· es· W3214778325 on OpenAlexaff
Ivan Baruj Vázquez Clavellina

Bibliographic record

VenueRevista Panamericana de Comunicación · 2021
Typearticle
Languagees
FieldArts and Humanities
TopicMedia, Journalism, and Communication History
Canadian institutionsWestern University
Fundersnot available
KeywordsHumanitiesArtPolitical science

Abstract

fetched live from OpenAlex

En mayo de 1905 se celebraron tres siglos de la publicación de la primera edición de El Ingenioso Hidalgo Don Quijote de la Mancha. La propuesta de celebrar el tercer centenario fue promovida inicialmente en la prensa por periodistas e intelectuales en España y posteriormente en México. El siguiente artículo analiza la cobertura informativa al tercer aniversario de la obra en la prensa mexicana. El objetivo fue identificar festejos, ceremonias y concursos a través de notas publicadas en periódicos, semanarios y revistas. Para obtener la información se utilizó el acervo de la Hemeroteca Digital Nacional de México (HNDM) y se localizaron notas que tratan la organización del homenaje y las fiestas establecidas por eruditos y funcionarios. Los resultados descubren publicaciones, periodistas y corresponsales que reportaron los festejos, y ayudaron a consolidar a Don Quijote como la obra literaria más importante en lengua castellana durante los primeros años del siglo XX.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.138
Threshold uncertainty score0.274

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0110.001

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 head0.012
GPT teacher head0.279
Teacher spread0.267 · 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 designObservational
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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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