MétaCan
Menu
Back to cohort
Record W4415943578 · doi:10.1111/rest.70018

‘Why Did You Go to Buda?’: The Humanist Sodality and Mantuan’s Rustic Idyll in Bohuslaus of Hassenstein’s <i>Ecloga sive Idyllion Budae</i> (1503) <sup>☆</sup>

2025· article· en· W4415943578 on OpenAlexaff
Eva Plesnik

Bibliographic record

VenueRenaissance Studies · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicCentral European and Russian historical studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsHomelandHumanismThe RenaissanceIdyllFifteenthAltar

Abstract

fetched live from OpenAlex

Abstract In the late fifteenth century, the Hungarian royal court at Buda was home to a cosmopolitan community of humanists. In early modern historiography, this cultural milieu has often been interpreted as one of the new, emergent ‘centres’ of the Renaissance in East Central Europe. This article responds to this framework by shedding light on a more peripheral figure: the Bohemian poet Bohuslaus of Hassenstein. Focusing on his Ecloga sive Idyllion Budae (1503), I follow Hassenstein's journey from the Hungarian court at Buda to his homeland of Bohemia, where he used the resources of the pastoral tradition, both classical and Italian, to transplant and cultivate the values of Latin humanism. In addition to Virgil, I examine Hassenstein in dialogue with Mantuan, who published a bestselling collection of Latin eclogues, the Adolescentia, in 1498. As a case study in the popular Renaissance genre of the neo‐Latin eclogue, this article shows how the pastoral tradition empowered poets like Hassenstein to transform the cultural peripheries in which they found themselves into new centres.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0070.012
Scholarly communication0.0030.001
Open science0.0000.002
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 head0.030
GPT teacher head0.320
Teacher spread0.290 · 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
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueRenaissance StudiesSame topicCentral European and Russian historical studiesFrench-language works237,207