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Record W4388272433 · doi:10.3167/fcl.2023.970103

Land and ocean grabs and the relative surplus population in Ghana

2023· article· en· W4388272433 on OpenAlex

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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueFocaal · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture, Land Use, Rural Development
Canadian institutionsnot available
FundersVolkswagen FoundationUniversity of Windsor
KeywordsCapitalismAgrarian societyCapital (architecture)PopulationEconomicsContext (archaeology)IndustrialisationSituatedPoliticsPolitical economySurplus valueCapital accumulationEconomyDevelopment economicsMarket economySociologyPolitical scienceGeographyHuman capitalAgricultureLaw

Abstract

fetched live from OpenAlex

Abstract Situated in the context of the land and ocean grabs in Ghana post-2007–2008 global economic crises, this article argues that the country is experiencing “primitive accumulation” without capitalist industrialization. I draw on the insights of agrarian political economy to argue that this has created cheap laborers without industrial capital to exploit. The corollary of this is the creation of additional “relative surplus population”, worsening the country's (un)employment crisis. However, this “relative surplus population” is not marginal to global capitalist accumulation and exploitation; on the contrary, it is important to them. The article draws on ethnographic fieldwork in Ghanaian communities to document the voices of the dispossessed and semi-proletarianized about their experiences with the crisis of (re)production inflicted on them by global capitalism.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.116

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.013
GPT teacher head0.202
Teacher spread0.189 · 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