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Record W3157812182 · doi:10.24908/iqurcp.7407

Don Quijote of La Mancha: Symbol of the Spanish Spirit

2017· article· en· W3157812182 on OpenAlexvenueno aff
Tara Downs

Bibliographic record

VenueInquiry Queen s Undergraduate Research Conference Proceedings · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicComparative Literary Analysis and Criticism
Canadian institutionsnot available
Fundersnot available
KeywordsDictatorshipSymbol (formal)RealismArtLiteraturePoetryHumanitiesArt historyPhilosophyPoliticsPolitical scienceLaw

Abstract

fetched live from OpenAlex

In his masterpiece Don Quijote of La Mancha, Miguel de Cervantes uses protagonists Don Quijote and his squire, Sancho Panza, to discuss various important themes, including the juxtaposition of reality and illusion, and the Spanish culture itself—both of which continue to be relevant today. He attributes ideas such as illusion and idealism to Don Quijote, and reality and realism to Sancho Panza. All of these attributes can be applied to Spain, a country with a history full of contrasts. This is especially clear through the history of Spain in the twentieth century. At this time Spain lost its last colonies, had a civil war which resulted in a 36 year dictatorship, and, obtained freedom with the death of Franco in 1975. This study examines poems by writers such as Miguel de Unamuno, Miguel Hernández, and Mario Hernández and analyses the attitudes present towards each of these historic events. In doing so, it becomes clear that the Spanish mindset shifts between moments of“quijotismo” and moments of “sanchismo.” Therefore, this study aims to demonstrate that by analyzing twentieth century Spanish poetry, it is clear that Cervantes’ masterpiece Don Quijote serves as the symbol of the Spanish spirit throughout history.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.007
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.156
GPT teacher head0.379
Teacher spread0.223 · 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".

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Citations0
Published2017
Admission routes1
Has abstractyes

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