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Efemerada Ebediyetin Temsili: Osmanlı Dönemi Kartpostallarında Mezarlık ve Türbeler

2022· article· en· W4386403743 on OpenAlexaboutno aff
Mustafa Sürün

Bibliographic record

VenueTSBS Bildiriler Dergisi · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicCultural and Sociopolitical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsEmpirePaintingQuarter (Canadian coin)Visual culturePeriod (music)PoliticsOttoman empireHistorySubject (documents)Ancient historyMonarchyVisual artsArtArt historyLawArchaeologyLibrary sciencePolitical science

Abstract

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This paper deals with the visual reflections of cemeteries, graveyards, and tombs in different parts of the empire and the culture developed accordingly through the postcards printed in the Ottoman period. Along with miniatures, gravures, paintings, and photographs, postcards are at the top of the list of the resources that contribute the most to the empire’s visual accumulation. In the last quarter of the 19th century, especially with the influence of developments in photography and printing techniques, postcards started to spread all over the world, including the Ottoman Empire. Postcards have various functions besides serving as a means of communication in their one-and-a-half-century history. Due to the diversity of their intended purpose and the texts and images they contain, postcards became documents with a source value over time. As a result of the understanding of the value of postcards, they were first collected by museums, libraries, archives, and collectors and then became the subject of academic studies. Literature made up of books, articles, and theses on postcards has emerged in Turkey, particularly in the last 20 to 30 years. These works usually focus on issues such as settlements (Istanbul, Jerusalem, Izmir, Thessaloniki, Beykoz, Fatih), wars (Balkan Wars, Gallipoli Campaign), political incidents (Constitutional monarchy), minorities (Jews, Armenians), postcard editors, architecture, and women. Our work, on the other hand, bears the significance of presenting new data on the visual history of Ottoman cemeteries by discussing burial places and death culture in postcards that allow different interpretations. The research aims to point out the contributions of postcards, one of the ephemera types, as sources for information on subjects such as history and art history because postcards convey various subjects such as daily life, natural disasters, wars, political events, conflicts, and official, national and religious ceremonies to the masses. Besides, it offers rich content about the panorama, silhouette, architecture, people, professions, clothing, and means of transportation of the period. Cemeteries, graveyards, war graves, and tombs appear as one of the themes featured in a significant number of postcards during the Ottoman period. Another aim of the research is to expose the visual accumulation that shapes graveyard and death culture. Our research examines around 350 original postcards with the theme of cemeteries and tombs printed in the Ottoman period. As a result of the study, although the cemeteries and tombs of many cities are included in postcards, it is seen that they specifically focus on Istanbul, Bursa, Izmir, and Thessaloniki. Postcards were printed both in the empire and abroad (Germany, France). The editors of the postcards were either from minorities (Greek, Armenian, Jewish) or foreigners. They have images of some cemeteries and tombs that have not survived. Not only Muslim cemeteries but Christian and Jewish cemeteries, even the cemeteries of foreign soldiers buried in our country during the wars and occupations, were also used in the postcards. Cemetery postcards served as a means of communication and propagandist and orientalist agendas. In terms of burial culture, it has been confirmed that postcards included funeral rites, cemetery visits, votive offerings, and scenes from daily life.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.332
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0310.001

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 head0.035
GPT teacher head0.216
Teacher spread0.181 · 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 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
Published2022
Admission routes1
Has abstractyes

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