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Poet Interrupted: Differences in the Emotionality and Imagery of Byron's Poetry Associated with His Turbulent Mid-Career Years in England

2010· article· en· W2081982741 on OpenAlexaff
Cynthia Whissell

Bibliographic record

VenuePsychological Reports · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicMedia, Gender, and Advertising
Canadian institutionsLaurentian University
Fundersnot available
KeywordsPoetryAffect (linguistics)PilgrimageLiteraturePsychologyEmotionalityHistoryArtSocial psychologyCommunicationAncient history

Abstract

fetched live from OpenAlex

The Dictionary of Affect in Language was employed to compare two parts of Byron's Childe Harold's Pilgrimage, written before and after an interruption of several turbulent years in England. The post-interruption part of the poem employed fewer extreme emotional words and more abstract words than the pre-interruption part. In a second analysis, poems written during the interruption and poems written before and after Childe Harold were examined, along with it, in terms of emotion, imagery, and linguistic richness. Two variables--year and an interruption dummy coded as 1 for publications between 1812.5 and 1816.17--predicted observed differences accurately. Byron's poetry became linguistically richer, more abstract, and less passionate across time, and it was emotionally more negative and linguistically simpler during the turbulent years. Differences between the two parts of Childe Harold were best explained on the basis of time-dependent growth curves rather than the interruption.

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.062
GPT teacher head0.335
Teacher spread0.273 · 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 designQualitative
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

Citations1
Published2010
Admission routes1
Has abstractyes

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