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Record W7082109769

The army of Alexander the Great

2025· article· en· W7082109769 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsnot available
Fundersnot available
KeywordsMacedonianInfantryBattleSubject (documents)Military historyMilitary tacticsEPICQuarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

"The Army of Alexander the Great provides a comprehensive account of the army with which Alexander conquered the Persian Empire. It details the organisation, equipment, appearance, drill and tactics of the core Macedonian units, the Greek and Balkan allies and mercenaries, and the Asian subjects of the Alexandrian army. Initial chapters cover the main components of the army, with particular emphasis on the pike-armed phalanx that formed the core of all Macedonian armies. But Alexander's army was a balanced, combined arms force, and the importance of the supporting units of light infantry and cavalry, many supplied by Macedon's subject states and allies, is also emphasised. Subsequent chapters examine the army in action, covering subjects ranging from pay and terms of service to march rates and intelligence. Finally, there is an analysis of each of the major battles fought by the Army, allowing its tactics to be seen in context. The comprehensive text is supported by illustrations of ancient art and artefacts, along with campaign and battle maps and diagrams, and specially-commissioned artwork. Informed by the latest scholarly research and including detailed references to the ancient sources, but written to be accessible by the general reader, The Army of Alexander the Great is an invaluable resource for all those with an interest in ancient military history."

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)0.000
metaresearch head score (Gemma)0.001
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: Other
Teacher disagreement score0.015
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0150.004

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 head0.012
GPT teacher head0.226
Teacher spread0.215 · 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
Published2025
Admission routes1
Has abstractyes

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