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Record W4353079826 · doi:10.1017/asr.2022.173

The Management of the Bank of Senegal and the Formation of a Colonial Economy, 1840s–1901

2023· article· en· W4353079826 on OpenAlexaboutno aff
Toyomu Masaki

Bibliographic record

VenueAfrican Studies Review · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicColonialism, slavery, and trade
Canadian institutionsnot available
FundersJapan Society for the Promotion of ScienceUniversitat de Barcelona
KeywordsColonialismCompensation (psychology)Argument (complex analysis)Scope (computer science)Service (business)EconomyPoliticsBusinessEconomicsPolitical scienceFinancial systemPolitical economyLaw

Abstract

fetched live from OpenAlex

Abstract In 1854, the Bank of Senegal was established using part of the compensation paid to former slave owners. The bank issued banknotes and provided modern financial services. Masaki analyzes the bank’s management and interrogates the widely accepted argument that merchants from Bordeaux controlled the bank to marginalize African merchants, concluding that the bank largely provided equitable service to this colony. Additionally, Masaki shows that the bank was a site of political struggles for the métis elites and suggests that the complexities of Senegalese society at the time made it difficult to assess the full scope of the bank’s operations.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.039
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0020.004
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.042
GPT teacher head0.332
Teacher spread0.291 · 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
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

Citations2
Published2023
Admission routes1
Has abstractyes

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