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Illegal Evictions? Overwriting Possession and Orality with Law's Violence in<scp>C</scp>ambodia

2012· article· en· W2138635841 on OpenAlexaff
Simon Springer

Bibliographic record

VenueJournal of Agrarian Change · 2012
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicLand Rights and Reforms
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsPossession (linguistics)OralityEndogamyExpropriationKinshipBarterLawProperty lawProperty rightsPolitical scienceSociologyPolitical economyLaw and economicsEconomicsMarket economyEthnic group

Abstract

fetched live from OpenAlex

The unfolding of a juridico‐cadastral system in present‐dayCambodia is at odds with local understandings of landholding, which are entrenched in notions of community consensus and existing occupation. The discrepancy between such orally recognized antecedents and the written word of law have been at the heart of the recent wave of dispossessions that has swept across the country.Contrathe standard critique that corruption has set the tone, this paper argues that evictions inCambodia are often literally underwritten by the articles of law. Whereas ‘possession’ is a well‐understood and accepted concept inCambodia, a cultural basis rooted in whatJamesC.Scott refers to as ‘orality’, coupled with a long history of subsistence agriculture, semi‐nomadic lifestyles, barter economies and – until recently – widespread land availability have all ensured that notions of ‘property’ are vague among the country's majority rural poor. In drawing a firm distinction between possessions and property, where the former is premised upon actual use and the latter is embedded in exploitation, this paper examines how proprietorship is inextricably bound to the violence of law.

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)0.003
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.035
Scholarly communication0.0090.007
Open science0.0010.007
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0060.000

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 head0.034
GPT teacher head0.237
Teacher spread0.203 · 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 designQualitative
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

Citations57
Published2012
Admission routes1
Has abstractyes

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