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Record W2810158198 · doi:10.17719/jisr.2018.2421

TRAVELLING THE EMPIRE AND THE REPUBLIC IN AN ORIENTALIST CONTEXT: FREDERICK BURNABY S ON HORSEBACK THROUGH ASIA MINOR AND PHILIP GLAZEBROOK S JOURNEY TO KARS: A MODERN TRAVELER IN THE OTTOMAN LANDS

2018· article· en· W2810158198 on OpenAlexaboutno aff
Atalay Gündüz

Bibliographic record

VenueJournal of International Social Research · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicTravel Writing and Literature
Canadian institutionsnot available
Fundersnot available
KeywordsOrientalismOttoman empireAncient historyContext (archaeology)Minor (academic)HistoryEmpirePolitical scienceArchaeologyLaw

Abstract

fetched live from OpenAlex

Nineteenth century British imperialism made travel a necessity as well as a possibility for British subjects. In that imperialist context Frederick Burnaby traveled through the Ottoman Anatolia from Istanbul to Kars in 1877. More than a hundred years later it was that time trying to reconstruct the structure of feeling of the nineteenth century travelers that Philip Glazebrook undertook a similar itinerary in 1980. Using Edward W. Said’s findings on the common points of the Orientalist discourse, the purpose of this study is to compare the discourses of two travelogues written on Turkey in different centuries. Considering the fact that travel writing is a highly inter-textual genre, the impact of Burnaby’s and Glazebrook’s travelogues, written on Turkey in the nineteenth and twentieth centuries respectively, makes them especially helpful to us to understand how the Orientalist discourse operate through 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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.121
Threshold uncertainty score0.241

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0170.023
Scholarly communication0.0080.003
Open science0.0010.003
Research integrity0.0020.003
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 head0.135
GPT teacher head0.395
Teacher spread0.260 · 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
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
Published2018
Admission routes1
Has abstractyes

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