MétaCan
Menu
Back to cohort
Record W4239431987 · doi:10.29327/414659

MICHELANGELO BUONARROTI: O artista dos papas e o relacionamento com a Igreja de Roma entre 1496 a 1564.

2019· dissertation· pt· W4239431987 on OpenAlexaff
Matheus CIRINO

Bibliographic record

Venuenot available
Typedissertation
Languagept
FieldArts and Humanities
TopicRenaissance Literature and Culture
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Michelangelo Buonarroti, ao longo de seus oitenta e oito anos, serviu a nove papas, e o presente trabalho foca nestas relações entre o artista e os pontífices.Michelangelo foi o artista responsável pela escultura da Pietá, pela pintura do teto da Capela Sistina, pela pintura do Juízo Final, dos túmulos de pessoas importantes da Igreja e de projetos arquitetônicos como a fachada e a cúpula da Basílica de São Pedro.Todas estas obras foram envoltas em relacionamentos conturbados, intrigas artísticas e muito sofrimento por parte do artista, desta forma, estas questões tornaramse elementos-chave para a elaboração deste trabalho.Michelangelo Buonarroti, during his eighty-eight years, served nine popes, and the present work focuses on these relations between the artist and the pontiffs.Michelangelo was the artist responsible for the sculpture of Pietá, the painting of the ceiling of the Sistine Chapel, the painting of The Last Judgment, the tombs of important people of the Church and architectural projects such as the facade and the dome of St. Peter's Basilica.All these works were surrounded by troubled relationships, artistic intrigues and much suffering on the part of the artist, so these questions became key elements for the elaboration of this work.

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)0.002
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.043
Threshold uncertainty score0.086

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.004
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0110.002

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 head0.011
GPT teacher head0.233
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 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
GenreOther

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
Published2019
Admission routes1
Has abstractyes

Explore more

Same topicRenaissance Literature and CultureFrench-language works237,207