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Record W1871136686 · doi:10.33137/rr.v30i1.9132

<i>Felicitas</i> (<i>eudaimonia</i>) ou les promenades d'Érasme dans le jardin d'Épicure

2006· article· en· W1871136686 on OpenAlexaffvenue
Peter G. Bietenholz

Bibliographic record

VenueRenaissance and Reformation · 2006
Typearticle
Languageen
FieldArts and Humanities
TopicClassical Philosophy and Thought
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsErasmus+EpicureanismSOCRATESPhilosophyEudaimoniaVirtueTheologyClassicsLiteratureEpistemologyArt historyArt

Abstract

fetched live from OpenAlex

An examination of Erasmus' changing views of Epicureanism must primarily rely on statements by himself that refer to Epicurus or indicate awareness of, and perhaps affinity with, some aspects of his philosophy. A brief first part will survey the intermediate sources for Epicurus' system, classical and patristic, appreciative or critical, with which Erasmus was familiar. Thereafter the procedure will be chronological, examining first the early traces of Erasmus' acquaintance with Epicurus, leading to an attempt to reconcile his moral philosophy with the Gospel teachings. Next Erasmus' years in Italy are considered. Italy had recently experienced a marked revival of interest in Epicurean thought, leading to a positive revaluation. Here Erasmus' familiarity with the work of Lorenzo Valla obtains a crucial importance. Valla turned Erasmus, to put it boldly, into a sort of convert to Epicureanism, as will be shown by a fresh look at his Moriae encomium. After the Moria Erasmus' statements relevant to Epicureanism tend to be more casual and inconsistent. In the end, however, we notice a reawakening of concern and almost a return to his initial endorsement of a Christian Epicureanism. The history of Epicureanism is an ongoing, often radical, quest for enduring felicity, although not always proceeding from the same intellectual premises. Finally, a brief attempt is made to assign Erasmus his modest place in that history.

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 categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.903
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.002
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 head0.019
GPT teacher head0.215
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

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

Citations11
Published2006
Admission routes2
Has abstractyes

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