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Record W2582850234 · doi:10.1111/joac.12201

Revisiting the World Bank's land law reform agenda in Africa: The promise and perils of customary practices

2017· article· en· W2582850234 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Agrarian Change · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicLand Rights and Reforms
Canadian institutionsUniversity of SaskatchewanUniversity of Waterloo
FundersWorld Bank Group
KeywordsLand lawCustomary landCorporate governanceLaw reformLand reformLand tenurePolitical sciencePoliticsLawPolitical economySociologyEconomicsGeography

Abstract

fetched live from OpenAlex

Abstract This paper revisits the World Bank's land law reform agenda in Africa by focusing on two central issues: (1) land law reform as a tool for resolving land conflicts, and (2) the role of land law reform in addressing gender inequalities. While the Bank's recent land report provides insights for improving land governance in Africa, it fails to acknowledge the exploitative and contentious politics that often characterize customary land tenure systems, and the local power dynamics that undermine the ability of marginalized groups to secure land rights. Using insights from recent fieldwork, the paper analyses the links between land law reform and conflict in Ghana, and the gendered dynamics of reforming land governance in Tanzania. These “crucial cases” illustrate how land law reform can provoke conflicts over land and threaten the rights of vulnerable populations (e.g. migrants and women) when customary practices are uncritically endorsed as a means of improving land governance. As such, the paper concludes with a series of recommendations on how to navigate the promise and perils of customary practices in the governance of land.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.875
Threshold uncertainty score0.380

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.103
GPT teacher head0.283
Teacher spread0.180 · 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