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Record W4403038588 · doi:10.1017/s0017816024000208

The Implications of Hephaestus’s Role as the Inventor of Metallurgy in the <i>Chronographia</i> of John Malalas

2024· article· en· W4403038588 on OpenAlexaff
Benjamin Garstad

Bibliographic record

VenueHarvard Theological Review · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicMaritime and Coastal Archaeology
Canadian institutionsMacEwan University
Fundersnot available
KeywordsPhilosophyMetallurgyHistoryMaterials science

Abstract

fetched live from OpenAlex

Abstract John Malalas presents Hephaestus as a king of Egypt who was deified as an inventor who made weapons and so provided his subjects with nourishment and strength in war. In the context of the Greco-Roman discussion of the progress of civilization and the identification of inventors, this may seem innocuous, even a commendation. But this discourse does not unite war and hunting, as Hephaestus’s inventions do. This combination seems to allude by inversion to the biblical ideal of harmony among people and between people and beasts, and so makes Hephaestus an agent of human delinquency. This denigration is confirmed by the magical initiation of Hephaestus’s ironsmithing. It is, however, by implication and allusion, rather than outright denunciation, that Malalas achieves his critique of the traditional gods and their deification.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.026
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.009
Scholarly communication0.0030.002
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.025
GPT teacher head0.264
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 source (direct Gemma or distilled Codex), 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

Citations0
Published2024
Admission routes1
Has abstractyes

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