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Record W4323354682 · doi:10.1080/0144039x.2023.2177158

For the Record: Muzio Costanzo, ‘Franciscus Etiopem’, and Paris Bordon’s <i>Portrait of a Man in Armour with Two Pages</i>

2023· article· en· W4323354682 on OpenAlexfundno aff
Sally Hickson

Bibliographic record

VenueSlavery and Abolition · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicColonialism, slavery, and trade
Canadian institutionsnot available
FundersUniversity of Guelph
KeywordsPortraitDepictionSubject (documents)PaintingArtWhite (mutation)Art historyHistoryVisual artsGenealogyComputer science

Abstract

fetched live from OpenAlex

The Metropolitan Museum’s Portrait of a Man in Armour with Two Pages, painted a sixteenth-century portrait by the Venetian artist Paris Bordone, has been of great interest to art and cultural historians studying the depiction of Black subjects in early modern portrait art, because it is the earliest known work to depict a Black page attending a White male subject. It influenced the development of a distinct European portrait type in which aristocratic white sitters were represented with enslaved Black attendants in which their unequal power relations underscored by the rigid hierarchies of their proximities. Lugo-Ortiz and Rosenthal observe that the result of this motif is ‘the paradoxical presence and erasure of the enslaved subject in portraiture’ as material subjects that are seen but not acknowledged. Such a voluntary ‘erasure’ of what is clearly present also applies to the ways we have read archival documents about enslaved people from the point of view of the colonizer. Here, I re-read both the painting and the documents to restore the identities of both the main soldier subject and his Black slave, Francisco of Ethiopia, by drawing attention to our encoded methods of reading racialized subjects in the gallery and in the archive.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.322
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.020
GPT teacher head0.295
Teacher spread0.275 · 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 designObservational
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
Published2023
Admission routes1
Has abstractyes

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