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Record W3115986879 · doi:10.22215/etd/2019-13677

Interpreting Otherness: Picturing the Turk in Tintoretto's Venice

2019· dissertation· en· W3115986879 on OpenAlexaff
Rebecca Semple

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldArts and Humanities
TopicByzantine Studies and History
Canadian institutionsCarleton University
Fundersnot available
KeywordsAdmirationPaintingNarrativeArtPeriod (music)EmpirePerceptionOttoman empireLiteratureVisual artsHistoryAestheticsAncient historyPsychologyLaw

Abstract

fetched live from OpenAlex

This thesis assesses the application and implication of the image of the Turk in paintings by Jacopo Tintoretto (1518-1594) and his contemporaries. In it, the signifiers that were used to connote otherness and the ways in which these identities were perceived by Venetian audiences are examined. This project tracks the development of visual trends by analysing contemporary sources such as costume books and travel narratives. A discussion of the works by Tintoretto shows that there was a notable shift in perceptions of the Turk at the end of the sixteenth century, an observation indicative of the relationship between Venice and the Ottoman Empire that was evolving throughout that period. The characterization of the Turk by Venetians represented admiration for and fascination with, as well as fear and misconceptions towards, the foreign cultures with which Venice was increasingly in contact. contemporary tradition and injected elements of Venetian life into his works, making his figures of the Turk indicative of the Venetian-Ottoman relationships at the time.

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)0.000
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: Other · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.007
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.010
GPT teacher head0.211
Teacher spread0.201 · 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

Citations1
Published2019
Admission routes1
Has abstractyes

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Same topicByzantine Studies and HistoryFrench-language works237,207