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Record W2014373655 · doi:10.1093/res/hgq096

Henryson's Matter of Style: The Garmont of Gud Ladeis

2010· article· en· W2014373655 on OpenAlexaffabout
David Parkinson

Bibliographic record

VenueThe Review of English Studies · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicModernist Literature and Criticism
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsStyle (visual arts)HistoryArt historyArtArchaeology

Abstract

fetched live from OpenAlex

In Robert Henryson's The Garmont of Gud Ladeis, a modest, compendious style corresponds to a high spiritual signification. Topical associations of the gift of clothing as an act of courtship are largely suppressed in The Garmont in order to heighten attention to the spiritual implications therein. In ten stanzas of common measure, reiterative syntactical patterns and plain diction, Henryson translates well-established ethical and exegetical themes into Scots verse practice. The relation is already integrally allegorical between the lyric and the clothing to which it refers. This allegory encapsulates the further allegory between the articles of clothing and the virtues they signify. Signification is presented in parallel in The Garmont and not in series, as in the arrangement of narrative and moralitas in The Fables, Orpheus and Eurydice and The Bludy Serk. Despite this structural difference, this neglected, deceptively simple lyric provides a useful vantage from which to consider Henryson's concept and treatment of style in his major works, The Fables in particular.

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)0.009
metaresearch head score (Gemma)0.025
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.025
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.004
Science and technology studies0.0040.009
Scholarly communication0.0110.007
Open science0.0010.003
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0100.002

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 head0.027
GPT teacher head0.274
Teacher spread0.247 · 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

Citations1
Published2010
Admission routes2
Has abstractyes

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