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Record W3202198325 · doi:10.7202/1081495ar

Homer like Thucydides? Hobbes and the Translation of the Homeric Poems as an Educational Tool

2021· article· en· W3202198325 on OpenAlexvenueno aff
Andrea Catanzaro

Bibliographic record

VenueTTR traduction terminologie rédaction · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicSeventeenth-Century Political and Philosophical Thought
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsPeriod (music)LiteratureVirtueNothingPolitical philosophyAncient GreekPhilosophyPoetryClassicsAmusementHistoryEpistemologyLawAestheticsArtPolitical sciencePsychology

Abstract

fetched live from OpenAlex

Thomas Hobbes had a deep and, to some extent, controversial relationship with both the classics and the classical world. At the beginning of his career as a political thinker, for example, he translated from Greek into English the History of the Peloponnesian War by Thucydides. Despite this initial involvement, the philosopher subsequently stopped translating, although, several decades later, in the final period of his life, he decided to return to this activity, translating the Iliad and the Odyssey , apparently for his own amusement, nothing more. However, recent literature has suggested that these works, as in the case of his translation of Thucydides’s work, hid another motive: he wanted to continue spreading his political thought in a period when he no longer able to do it in the usual way because of old age, illness, and, above all, censorship. By offering a comparison of the original Greek texts and Hobbes’s translations, this essay aims to show how he handled the political elements of the Iliad and the Odyssey that did not fit his political theory and ran the risk of undermining his attempt to teach moral and political virtue. It focuses in particular on the political question of overlapping sovereignties, with a view to explaining some systematic uses of translation choices that clearly deviate from the Greek.

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)0.000
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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.259
Threshold uncertainty score0.902

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.087
GPT teacher head0.290
Teacher spread0.203 · 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 designTheoretical or conceptual
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

Citations1
Published2021
Admission routes1
Has abstractyes

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