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Record W2169759690 · doi:10.1177/0008429810362317

A Text with Teeth: Augustine’s Exegesis of Song of Songs 4:2 as Paradigm of His Hermeneutics

2010· article· en· W2169759690 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueStudies in Religion/Sciences Religieuses · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicAugustinian Studies and Theology
Canadian institutionsSt. Francis Xavier University
Fundersnot available
KeywordsExegesisHeavenBaptismLiteraturePhilosophyTheme (computing)Interpretation (philosophy)HermeneuticsChristian traditionDoctrineMidrashBiblical studiesTheologyArtLinguistics

Abstract

fetched live from OpenAlex

In the second book of his treatise on scriptural interpretation, On Christian Doctrine, Augustine introduces the theme of the obscurity of some biblical texts with a quotation from the notoriously difficult Song of Songs: ‘‘Your teeth are like a flock of shorn ewes coming up from the washing, which all give birth to twins, and there is not one among them that is barren’’ (4:2). Unsurprisingly, he finds references to baptism and the double commandment of love of God and neighbour. What strikes a modern reader is Augustine’s unembarrassed use of violent imagery to describe how the saints cut off errors and then chew the newly converted until they are soft for digestion by the Church. In later texts, Augustine will advert to the violence of biblical imagery to emphasize the necessity of transformation into the likeness of God and to reinforce the eschatological hope of the Church. This paper will examine the role of difficulty and obscurity in Augustine’s understanding of the process by which Scripture forms and orients its readers to prepare them for the vision of heaven.

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.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
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 score0.682
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.008
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.052
GPT teacher head0.321
Teacher spread0.269 · 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