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Record W4323042629 · doi:10.1017/s0075426922000106

The Red Sea Aristotle

2022· article· en· W4323042629 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 Journal of Hellenic Studies · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicArchaeology and Historical Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsLexicographyClassicsHistoryPeriod (music)Settlement (finance)Middle AgesPhilosophyAncient historyLiteratureArtLinguistics

Abstract

fetched live from OpenAlex

Abstract Deriving from a larger investigation into the sources used by Leonidas of Byzantium for his second-century AD Halieutica , this article argues that a handful of passages in Aelian’s De natura animalium (3.18, 3.28, 10.13, 10.20, 11.21, 11.23–24, 12.24–25[24] and 12.27[25]) comprise a coherent series indebted to the same section of Leonidas’ work. More importantly, all of these accounts are ultimately derived from a Peripatetic treatise on the marine fauna of the Red Sea. The author, whom I dub the Red Sea Aristotle, based his treatise on first-hand research likely conducted at a Ptolemaic settlement in the northern Red Sea. This treatise seems to have been known to at least one later Alexandrian lexicographer, while Agatharchides of Cnidus may have had access to it already in the middle of the second century BC. This Peripatetic treatise invites a reconsideration of orthodox claims about the fate of scientific zoology in the Hellenistic period.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.898
Threshold uncertainty score0.995

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 studies0.0060.001
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 head0.069
GPT teacher head0.265
Teacher spread0.196 · 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