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Record W4415476327 · doi:10.1080/03044181.2025.2568481

Avoiding Konya: How to go to the Holy Land in the Twelfth Century

2025· article· en· W4415476327 on OpenAlex
Lucas McMahon

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Medieval History · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicByzantine Studies and History
Canadian institutionsUniversity of Winnipeg
Fundersnot available
KeywordsPeriod (music)Documentary evidenceMiddle AgesMedieval history

Abstract

fetched live from OpenAlex

How Byzantine armies reached Syria in the twelfth century has attracted much less attention than the long and arduous journeys made by European crusaders. While they had less distance to cover, much of the pre-existing transportation infrastructure in central Anatolia had come under the control of Turkic groups. When Constantinople dispatched armies to Syria in the twelfth century, they took a circuitous route. This study uses Geographic Information Systems (GIS) cost-distance techniques to examine routes and roads along which Byzantine armies marched to the Holy Land. The intention is to answer the question as to how much more difficult it was to get to Syria in the twelfth century in comparison to when the empire controlled the Anatolian plateau, how these routes compared to those taken by the crusaders, and what this says about the reach of the empire of the Komnenoi.

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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical · Consensus signal: none
Teacher disagreement score0.852
Threshold uncertainty score0.377

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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)0.0000.000

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 head0.027
GPT teacher head0.225
Teacher spread0.198 · 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