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Record W4390476483

Military Observations of a British Officer on Erzurum-Kars-Ardahan Trip on the Eve of the "93 War" and the Implications of These Observations

2023· article· en· W4390476483 on OpenAlexaboutno aff
Mehmet Alper DEMİRER

Bibliographic record

VenueDergiPark (Istanbul University) · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicOttoman and Turkish Studies
Canadian institutionsnot available
Fundersnot available
KeywordsOfficerAncient historyEngineeringHistoryArchaeology
DOInot available

Abstract

fetched live from OpenAlex

93 harbi arifesinde, Anadolu’da olan bitenleri kendi gözleriyle görmek isteyen İngiliz subayı Frederick Burnaby, 1876 yılında, Anadolu’yu at sırtında baştanbaşa dolaşarak beş ayda yaklaşık 3200 kilometre yol kat etmiştir. Burnaby, seyahati sırasında Türk tabur ve alaylarını eğitim yaparken gördüğünü anlatmaktadır. Çoğu kışla, tabya, top mevzii ve istihkâm mevzileri bizzat komutanlar tarafından kendisine gezdirilerek sayıları hakkında bilgi verilmiştir. Burnaby seyahatnamesinde Erzurum’un coğrafi konumundan, Kars, Ardahan, Van ve Erzincan gibi illerle yapılan bağlantı yollarından söz etmektedir.Seyahatnamede; Erzurum ve civarındaki geçitlerde yapılması gereken istihkâm mevzilerinden, mevcut savunmayı oluşturan unsurlardan bahsederek, şehir ile ilgili bilgiler vermektedir. Ayrıca Kars’taki Kanlı Tabya, Karadağ Tabyası, Veli Paşa Tabyası, vb. birçok tabyayı gezerek, tabyaların durumu, buradaki asker, silah ve mühimmat hakkında da detaylı bilgiler aktarmaktadır. Kars’tan Ardahan’a geçen Burnaby, Ardahan’ın savunma amacı bakımından kötü bir yer olduğunu, Ramazan adlı tepeyi ele geçiren düşmanın, şehrin en güçlü savunma mevzii Manusa Kalesine kolayca hâkim olacağını ve Ardahan’ı ele geçirebileceğini ifade etmektedir.

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)0.001
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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.187
Threshold uncertainty score0.371

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.002
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0100.002

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 head0.083
GPT teacher head0.217
Teacher spread0.133 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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