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Record W4220790724 · doi:10.1080/07360932.2022.2056225

Economic Inequality and Rural Entrepreneurship: Polly Hill on Rural Capitalism in West Africa

2022· article· en· W4220790724 on OpenAlex
Robert W. Dimand, Kojo Saffu

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

VenueForum for Social Economics · 2022
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicMicrofinance and Financial Inclusion
Canadian institutionsBrock University
Fundersnot available
KeywordsEntrepreneurshipInequalityCapitalismAgency (philosophy)CommonwealthEconomicsSociologyEconomic inequalityEconomic growthDevelopment economicsPolitical scienceSocial sciencePoliticsLaw

Abstract

fetched live from OpenAlex

The relationship between economic inequality and entrepreneurship has received the attention of scholars who have advised researchers to ‘use new data and seek new methods to study economic inequality.’ We examine a neglected source of such data and methods, Polly Hill’s The Migrant Cocoa-Farmers of Southern Ghana (1963) and Studies in Rural Capitalism in West Africa (1970), which stressed the agency of rural entrepreneurs. According to Hill, economic inequality is synonymous with rural tropical economies. Hill highlights inequality between richer and poorer farmers ignored by development economists. Her approach was cross-disciplinary, with an economics BA and anthropology PhD (supervised by economist Joan Robinson). She was a fellow in African Studies in Ghana and reader in Commonwealth Studies at Cambridge. In keeping with Hill’s cross-disciplinarity, this paper is jointly written by an economist and by an entrepreneurship professor.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.564
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
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.026
GPT teacher head0.231
Teacher spread0.205 · 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