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Record W4392385109 · doi:10.1017/s0009838823000915

CAERULEAN HOUNDS AND PUPPY-LIKE VOICES: THE CANINE ASPECTS OF ANCIENT SEA MONSTERS

2023· article· en· W4392385109 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.

Bibliographic record

VenueThe Classical Quarterly · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicMaritime and Coastal Archaeology
Canadian institutionsTrent University
Fundersnot available
KeywordsCreaturesPuppyHistoryArtLiteratureAncient historyArchaeologyBiologyNatural (archaeology)Ecology

Abstract

fetched live from OpenAlex

Abstract This article examines the dog-like aspects and associations of two marine monsters of Graeco-Roman antiquity: Scylla and the κῆτος. Both harbour recognizably canine features in their depictions in ancient art, as well as being referenced as dogs or possessing dog-like attributes in ancient texts. The article argues that such distinctly canine elements are related to, and probably an extension of, the conceptualization of certain marine animals, most prominently sharks, as ‘sea dogs’. Accordingly, we should understand these two sea monsters and the sea dogs as being interrelated in the ancient imagination. Such a canine resonance to certain sea creatures offers a valuable insight into the Graeco-Roman imagination of the marine element as being the abode of creatures reminiscent of terrestrial dogs.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.826
Threshold uncertainty score0.855

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
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 head0.020
GPT teacher head0.218
Teacher spread0.198 · 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