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Record W4241227768 · doi:10.32920/ryerson.14647521

Ethnic identity and cultural misattribution in early Ottoman photography

2021· preprint· en· W4241227768 on OpenAlexaff
Cassandra Tavukciyan

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEarth and Planetary Sciences
TopicArchaeological Research and Protection
Canadian institutionsEmily Carr University of Art and Design
Fundersnot available
KeywordsArmenianPhotographyEthnic groupOttoman empireIslamIdentity (music)HistoryVisual artsArtAncient historySociologyLawAnthropologyPolitical scienceAestheticsArchaeology

Abstract

fetched live from OpenAlex

When photography was first introduced in the Ottoman Empire, Islamic laws forbade the production of images of sentient beings and therefore the practice of photography to the Muslim majority. Non-Muslim minorities, in particular the Armenians, thus became significant producers of photographic practices and traditions in the late Ottoman Empire. Until the present, however, cataloguing practices have not reflected the complexity of Ottoman society, resulting in an inadequate if not misleading representation of Armenian photographers, and their contributions. Using the photographs of Gabriel Lekegian, Pascal Sébah and Jean Pascal Sébah housed in the New York Public Library this thesis investigates the extent to which the Armenian community was involved with the development, production and circulation of Ottoman photography and argues for the inclusion of their ethnic identities in catalogue records so as to begin to identify the distinct characteristics or aesthetic qualities inherent in the Armenian photographic tradition.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.085
Threshold uncertainty score0.999

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 integrity0.0000.001
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 head0.082
GPT teacher head0.326
Teacher spread0.244 · 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.

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
Published2021
Admission routes1
Has abstractyes

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