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Record W3048175877 · doi:10.1163/24683302-20201034

Visual Symbols and Military Culture in Britain’s West African Colonial Army (c.1900–60)

2020· article· en· W3048175877 on OpenAlexaff
Timothy J. Stapleton

Bibliographic record

VenueInternational Journal of Military History and Historiography · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican history and culture studies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsColonialismEmpireEmblemHistoryOrientalismAncient historyIndependence (probability theory)MajestyExhibitionStyle (visual arts)Visual cultureAnthropologySociologyArt historyArchaeology

Abstract

fetched live from OpenAlex

Abstract Visual symbols like uniforms, emblems and ceremonies became central in inventing British military culture among West African forces reflecting orientalist and ornamentalist interpretations of empire. While uniforms fostered military identity, the versions devised for West African soldiers reproduced racial stereotypes and military fashion trends. Granting insignia and Colours to West African units transformed them from simplistic paramilitaries to honoured members of the British imperial milieu. Colours served as ritual objects enabling West African forces to recreate pivotal cultural events of the British regimental system. The public presence of uniformed West African soldiers promoted a sense of imperial majesty that reinforced British rule. Travelling to Britain, West African troops participated in parades and exhibitions initially displaying the epic scale of the empire, but eventually these military visitors became symbols of colonial reform. With independence, Britain’s former colonies in West Africa retained Western-style military symbols altered to highlight republicanism and modernist aspirations.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.077
Threshold uncertainty score0.153

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0050.006
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.013
GPT teacher head0.256
Teacher spread0.242 · 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 designQualitative
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".

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Citations1
Published2020
Admission routes1
Has abstractyes

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