MétaCan
Menu
Back to cohort
Record W4311469727 · doi:10.14195/2183-1718_80_4

Facets of love in renaissance culture

2022· article· en· W4311469727 on OpenAlexfundno aff
José Eliézer Mikosz, Teresa Lousa

Bibliographic record

VenueHumanitas · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicLiterature, Culture, and Aesthetics
Canadian institutionsnot available
FundersFundação para a Ciência e a TecnologiaFederation for the Humanities and Social Sciences
KeywordsLiteratureTheme (computing)The RenaissanceArtPoetryMythologyMysticismVisionNarrativePhilosophyArt historyTheology

Abstract

fetched live from OpenAlex

Starting from a qualitative methodology with a documental base, the concept of love is revisited in a cut that intends to highlight its various representations in Renaissance culture: inherited from classical culture, the reception of the concept of love goes from its mythology to its expression in Platonic philosophy. The theme of love finds a fertile narrative in the Renaissance, present in the poetry of Dante, Petrarch, and Colonna, which will greatly influence the visual arts. This trend finds significant echoes in Portugal; authors such as Leão Hebreu and Camões demonstrate this. It is a theme that will manifest itself at the level of the broader culture of the time, such as, for example, the Renaissance court culture, evident in Castiglione's aspirations for a perfecto cortesano, reaching increasingly erudite and mystical expressions with the philosophical visions of Ficino and Leão Hebreu, where the Cosmogony is seen as a gesture of divine love. Thus, through a key concept of the Renaissance and guided by a comparative perspective, this paper aims to bring to the fore some of the Italian sources and influences on classicist artistic culture in Portugal.

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)0.006
metaresearch head score (Gemma)0.007
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: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0050.018
Scholarly communication0.0070.003
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.031
GPT teacher head0.226
Teacher spread0.195 · 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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueHumanitasSame topicLiterature, Culture, and AestheticsFrench-language works237,207