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Record W4417278830 · doi:10.1080/03086534.2025.2593548

Working Through a War: The Traders of John Holt & Co. in Cameroon During the First World War

2025· article· en· W4417278830 on OpenAlexafffund
Deborah Neill

Bibliographic record

VenueThe Journal of Imperial & Commonwealth History · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican history and culture studies
Canadian institutionsYork University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsFirst world warPeriod (music)First WorldWork (physics)World War II

Abstract

fetched live from OpenAlex

This paper will explore the experiences of John Holt & Co.’s European and African traders who were in German-controlled Cameroon when war broke out in August of 1914. Using company and government archives, the paper argues that local employees, who came from multiple European countries and from across the west coast of Africa, faced significant hardships but, through skill, experience, and self-interest, kept the company afloat at a time of crisis and transition. The paper begins with an investigation of how the German government in Cameroon made British employees prisoners of war and then, after the British conquest of Douala, German employees were subjected to the same treatment by occupying forces. The second part explores the breakdown of trading networks and the difficult situation of employees in the interior who suffered from a lack of security, the violence of invading armies, and the destruction of property. Despite the hardships, wartime conditions also created economic opportunities for some African employees, and part three explores their enlarged responsibilities during the war years. The final section examines the post-war era as the region transitioned from German to Anglo-French control, exploring some continuities with the pre-1914 period as well as the consolidation of some companies and an increasing expatriate dominance over the commodities trade.

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 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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.737
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.040
GPT teacher head0.305
Teacher spread0.265 · 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 teacher head, not a consensus.

Study designNot applicable
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".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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