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Record W4230270468 · doi:10.33137/rr.v39i1.26542

Velázquez’s <i>Democritus</i>: Global Disillusion and the Critical Hermeneutics of a Smile

2016· article· en· W4230270468 on OpenAlexvenueno aff
Javier Berzal de Dios

Bibliographic record

VenueRenaissance and Reformation · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicRenaissance and Early Modern Studies
Canadian institutionsnot available
Fundersnot available
KeywordsRelation (database)ArtSubject (documents)PaintingPoliticsLiteraturePhilosophyAestheticsArt historyHumanitiesLaw

Abstract

fetched live from OpenAlex

Velázquez’s Democritus (ca. 1630) presents a unique encounter: not only are there few depictions in which the Greek philosopher appears with a sphere that shows an actual map, but Velázquez used a court jester as a model for Democritus, thus placing the philosopher within a courtly space. When we study the painting in relation to the literary interests of the Spanish Golden Age and its socio-political circumstances, we can see the figure of Democritus as far from just another instantiation of a conventional trope. The philosopher’s smile and his crepuscular globe entrap the viewer in a semiotic game with pedagogical and ethical goals. While the scholarship on the painting has dwelt extensively on the identification of the figure, this essay moves beyond the superficial aspects of subject identity in order to explore how the painting articulates and requests a profoundly philosophical engagement. I thus examine Democritus in relation to contemporary literary and philosophical themes, many of which were present in Velázquez’s own personal library: the period’s understanding of the philosopher, cartographic spheres, and treatises on laughter. Considered in this manner, Velázquez’s figure is not responding to the folly of humanity in general, as is commonly the case in representations of the philosopher, but is rather presented through a courtly prism in which conquest, geography, and politics are inescapably interrelated. Velázquez’s Democritus emphasizes the philosophical and moral qualities of a learned and decorous laughter, which performs a critical and ethical role framed by Spain’s political difficulties.
 Le Démocrite de Velázquez (c. 1630) représente une rencontre exceptionnelle entre divers éléments. En effet, rares sont les représentations montrant le philosophe grec avec un globe terrestre dessinant une carte géographique crédible; plus encore, Velázquez a pris comme modèle un bouffon de cour, plaçant ainsi le philosophe dans le contexte courtisan. Lorsqu’on examine le tableau en relation avec l’actualité littéraire de l’âge d’or espagnol et dans son contexte sociopolitique, la représentation de Démocrite s’avère ici bien plus qu’un trope conventionnel. De fait, le sourire du philosophe et son globe prennent le spectateur au piège d’un jeu sémiotique dont les objectifs sont pédagogiques et éthiques. Tandis que les chercheurs se sont surtout penchés sur l’identification du personnage, cet article cherche à aller au-delà de la reconnaissance de l’identité du sujet, et se donne pour but d’explorer la manière dont le tableau définit et requiert un engagement profondément philosophique. J’examine donc Démocrite dans ses rapports aux thèmes littéraires et philosophiques de son époque, que l’on retrouve en grande partie dans la bibliothèque de Velázquez lui-même : en particulier, la perception que l’on avait alors de ce philosophe, l’histoire des globes terrestres, et les traités sur le rire. Dans cette perspective, ce tableau de Velásquez ne fait pas référence à la folie inhérente de l’humanité, ce qui est généralement le cas dans les représentations du philosophe, mais cooemnte plutôt le monde courtisan dans lequel conquête, géographie et politique sont irrémédiablement liés. Le Démocrite met ainsi en lumière les qualités philosophiques et morales d’un rire savant et bienséant, qui tient un rôle critique et éthique dans le contexte des difficultés politiques de l’Espagne.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.715
Threshold uncertainty score0.574

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 studies0.0010.002
Scholarly communication0.0000.001
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 head0.241
Teacher spread0.222 · 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
Published2016
Admission routes1
Has abstractyes

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