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Record W4232049145 · doi:10.1017/cbo9780511777486.007

Romance languages

2010· book-chapter· en· W4232049145 on OpenAlexaff
David Ten Eyck

Bibliographic record

VenueCambridge University Press eBooks · 2010
Typebook-chapter
Languageen
FieldArts and Humanities
TopicMedieval European Literature and History
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPoetrySensibilityMedievalismArtAdmirationLiteratureRomancePhilosophyHarmony (color)IntellectIambic pentameterMiddle AgesTheologyVisual arts

Abstract

fetched live from OpenAlex

In “Medievalism,” his 1928 essay on Guido Cavalcanti, Ezra Pound described the uniqueness of medieval Italian poetry. The poets of this time, he writes “brought into poetry something which had not been in any so marked and developed degree in the poetry of the troubadours. It is still more important for any one wishing to have well-balanced critical appreciation of poetry in general to understand that this quality, or this assertion of value, has not been in poetry since” (LE, 150). This quality, he claimed, had its origin in the troubadours’ shift from the classical aesthetic of “[p]lastic plus immediate satisfaction,” to the “dogma that there is some proportion between the fine thing held in the mind and the inferior thing ready for instant consumption” (LE, 151). For Pound, the aesthetic shift initiated by the troubadours achieved its fullest expression in the Tuscan poetry of the trecento which “demand[ed] harmony in something more than the plastic” (LE, 151) and gave central importance to the interaction between the intellect and the senses. This poetic sensibility, he came to believe, found its most perfect expression in Cavalcanti's canzone “Donna mi prega,” a poem for which he gained increasing admiration over the course of almost three decades of study.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.839
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.019
GPT teacher head0.175
Teacher spread0.156 · 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 teacher head, not a consensus.

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

Citations1
Published2010
Admission routes1
Has abstractyes

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Same venueCambridge University Press eBooksSame topicMedieval European Literature and HistoryFrench-language works237,207