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<i><scp>G</scp>awain</i>‐Poet

2017· other· en· W4242174975 on OpenAlexaff
Kenna L. Olsen

Bibliographic record

VenueThe Encyclopedia of Medieval Literature in Britain · 2017
Typeother
Languageen
FieldArts and Humanities
TopicMedieval Literature and History
Canadian institutionsMount Royal University
Fundersnot available
KeywordsPoetryMiddle EnglishKnightLiteratureScholarshipPatienceArtPearlHistoryClassicsPhilosophyTheology

Abstract

fetched live from OpenAlex

TheGawain‐poet refers to the presumed and anonymous author of the Middle English alliterative poemsSir Gawain and the Green Knight,Pearl,Patience, andCleanness. The poems are believed to have been written sometime in the later fourteenth century. They survive in the only Middle English manuscript containing solely alliterative verse, British Library Cotton Nero A.x. (article 3). From manuscript evidence (dialect), and internal evidence, such as poetic form and interest, it is commonly assumed that the same person wrote all four poems. While some scholars have attempted to identify the poet, none of the theories have been widely accepted. Current scholarship traditionally accepts that the poet was from the northwest Midlands of England, was well read and familiar with courtly traditions, and was perhaps a cleric.

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)0.000
metaresearch head score (Gemma)0.001
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: Other · Consensus signal: Other
Teacher disagreement score0.040
Threshold uncertainty score0.133

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.002
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0400.013

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 head0.011
GPT teacher head0.223
Teacher spread0.212 · 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
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

Citations0
Published2017
Admission routes1
Has abstractyes

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