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Record W2043716960 · doi:10.1177/0309089210363031

Bakhtin Reads the Song of Songs

2010· article· en· W2043716960 on OpenAlexaff
Jennifer Pfenniger

Bibliographic record

VenueJournal for the Study of the Old Testament · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicBiblical Studies and Interpretation
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsUtteranceHebrewContext (archaeology)Event (particle physics)LiteratureLinguisticsHistoryInterpretation (philosophy)Biblical HebrewPhilosophyArtHebrew BibleBiblical studiesPhysics

Abstract

fetched live from OpenAlex

If Mikhail Bakhtin were to read the Hebrew text of the Song of Songs, he would likely propose three claims in regard to it, namely: (1) the Song of Songs is an Event of Events; (2) the Song of Songs represents a Genre of Genres; and (3) the Song of Songs is an Utterance of Utterances. In this article, the Song as an ‘Event of Events’ will be explored within the context of the Song’s variegated but quite cleanly polarized history of interpretation; the Song as representative of a ‘Genre of Genres’ will be treated in light of the components and attributes of its Hebrew text and structure; and the Song as an ‘Utterance of Utterances’ will be pursued in relation to the Song’s relevance and resonance within other parts of Hebrew Scripture.

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 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 score0.555
Threshold uncertainty score0.796

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.037
GPT teacher head0.276
Teacher spread0.239 · 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.

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

Citations2
Published2010
Admission routes1
Has abstractyes

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