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Record W4407268149 · doi:10.1080/15740773.2025.2458880

Assessing ancient conflict landscapes through KOCOA analysis: the case of Burnswark hillfort (SW Scotland)

2025· article· en· W4407268149 on OpenAlex
Craig J. Brown, Manuel Fernández‐Götz, Rachel Cartwright, John H. Reid, Andrew Nicholson

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 Conflict Archaeology · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicMaritime and Coastal Archaeology
Canadian institutionsTRIUMF
Fundersnot available
KeywordsArchaeologyHistoryGeographyAncient history

Abstract

fetched live from OpenAlex

This paper applies KOCOA terrain analysis to the study of the Iron Age hillfort of Burnswark Hill (SW Scotland) and its associated Roman military remains. The Roman camps and projectiles identified at Burnswark have sparked a long scholarly debate, with views ranging from authors that interpret the evidence as related to Roman military training at an already abandoned hillfort, and others who consider it representative of a brutal Roman military attack on an indigenous stronghold. This article presents the recently undertaken KOCOA analysis of the site, which assesses how the terrain influenced the conduct of the Roman intervention at Burnswark. The results are used in conjunction with the insights provided by the metal detector surveys and excavations from the last decade. The combined evidence strongly suggests that the events at Burnswark can best be described as a Roman oppugnatio longinqua obsidio, an active siege that ended in a storming assault.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.944
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.034
GPT teacher head0.307
Teacher spread0.273 · 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