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Record W2014774918 · doi:10.5539/ells.v3n4p22

Poems about the Bird – A Comparative Study of Ode to a Nightingale and Sailing to Byzantium

2013· article· en· W2014774918 on OpenAlexvenueno aff
Xue Shu

Bibliographic record

VenueEnglish Language and Literature Studies · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicJoseph Conrad and Literature
Canadian institutionsnot available
Fundersnot available
KeywordsOdeIdeal (ethics)PoetryConstruct (python library)Object (grammar)Tone (literature)LiteratureNatural (archaeology)HistoryArtComputer sciencePhilosophyArtificial intelligenceEpistemology

Abstract

fetched live from OpenAlex

Ode to a Nightingale by John Keats in 1819 and Sailing to Byzantium by W. B. Yeats in 1928 both employ the image of a bird to express the poets’ longing for an ideal and immortal world. Yeats mirrors some tradition from Keats in writing the poem, but their disparate experiences construct varied descriptions about their ideal worlds. The nightingale, a natural bird, puts Keats in question—“do I wake or sleep” and delivers a tone of mournfulness; whereas the golden bird, an artificial object, guides Yeats through “what is past, or passing, or to come” and delivers a message of hope in the end.

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)0.004
metaresearch head score (Gemma)0.011
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: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0200.020
Scholarly communication0.0080.009
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0070.001

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 head0.025
GPT teacher head0.279
Teacher spread0.253 · 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".

Quick stats

Citations0
Published2013
Admission routes1
Has abstractyes

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