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Record W3144015028 · doi:10.3406/ranam.2010.1391

Poems and recipes : what do these two magpie modes have in common ?

2010· article· en· W3144015028 on OpenAlexaff
Nathalie Cooke

Bibliographic record

VenueRecherches anglaises et nord-américaines · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicDigital Humanities and Scholarship
Canadian institutionsMcGill University
Fundersnot available
KeywordsAnalogyPoetryLiteratureLiteral and figurative languageRecipeOrder (exchange)Privilege (computing)ArtMetaphorHistoryLinguisticsPhilosophyComputer scienceArchaeology

Abstract

fetched live from OpenAlex

In order to compare and contrast the poem and the recipes - two “borrowing” genres that, despite their textual format, both signpost and privilege the primacy of their oral form -this paper pursues an extended analogy of the relationship between high and low art. It envisages high and low art as two banks of a river - each visible to the other, but always separated by the river itself. Modes, understood as a series of conventions that cut across textual genre (as in lyric, satiric or formulaic ; ironic, descriptive or prescriptive), form the bridges over this figurative river and allow passage for individual texts to move between highland and lowland riverbanks. While the paper begins with the assumption that the poem is a high art form and recipe a low art form, the analogy enables an understanding of some similarities between both forms.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.538
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0030.003
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 head0.204
GPT teacher head0.353
Teacher spread0.148 · 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 designTheoretical or conceptual
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
Published2010
Admission routes1
Has abstractyes

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