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Record W3031982543 · doi:10.1080/03056244.2019.1688486

The social life of wheat and grapes: domestic land-grabbing as accumulation by dispossession in rural Egypt

2019· article· en· W3031982543 on OpenAlex
Yasmine Moataz Ahmed

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

VenueReview of African Political Economy · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture, Land Use, Rural Development
Canadian institutionsnot available
FundersHorizon 2020Leibniz-GemeinschaftCentre National de la Recherche ScientifiqueEuropean Research CouncilInternational Development Research Centre
KeywordsLand grabbingPolitical scienceLand reformDevelopment economicsGeographyEconomicsAgriculture

Abstract

fetched live from OpenAlex

ABSTRACT In the last three decades, Egypt’s rural population has experienced different types of struggle over land as a result of neoliberal land reforms, which have favoured landowners and marginalised tenants’ interests. While the literature highlighted the negative effects on the tenants, little attention was given to what landlords did with the land after the reforms. Drawing on fieldwork conducted between 2011 and 2013 in five Egyptian villages, the article addresses this lacuna by investigating tenants’ understanding of land-use change. Using a revised conceptualisation of Marx’s metabolic rift, the article shows that evicted tenants understand this shift as part of a domestic land grab that disrupted the ecological system. The article therefore conceptualises land dispossession and domestic land grabs as mutually reinforcing processes and draws particular attention to the sensorial dimensions associated with domestic land grab, in addition to the political and economic dimensions.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.675
Threshold uncertainty score0.151

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 head0.012
GPT teacher head0.270
Teacher spread0.257 · 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