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Record W4293661952 · doi:10.1080/27706869.2022.2050030

New constitutional rites: indigeneity, legal pluralism and the international finance corporation’s performance standards in Cambodia

2022· article· en· W4293661952 on OpenAlexfundno aff
Ben Lawrence

Bibliographic record

VenueLegal Pluralism and Critical Social Analysis · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicCambodian History and Society
Canadian institutionsnot available
FundersCentre for Asia-Pacific InitiativesLeverhulme Trust
KeywordsCorporationPluralism (philosophy)Legal pluralismPolitical scienceLawLegal researchPhilosophyLegal realismEpistemology

Abstract

fetched live from OpenAlex

Globalisation is radically reconfiguring traditional understandings of constitutional law. A prime example of this trend would be the International Finance Corporation, whose Performance Standards have been described as a private-law Bill of Rights. Focusing on a complaint brought to the IFC’s Compliance Assessment Ombudsman by 17 villages in northeastern Cambodia, this article investigates how supranational frameworks interact with local identities and normative orders by highlighting how the IFC’s Performance Standard 7 on Indigenous Peoples has allowed certain communities to assert identities and associated rights that are not explicitly provided for in the national Constitution. In the process, I ask whether the IFC can be understood as having played the traditionally constitutional role of constituting a people, albeit at a subnational level, or recognizing an identity with specific legal privileges in Cambodia. Similarly, in discussing ongoing attempts to broker a settlement between the parties, the paper explains how the IFC’s engagement with the normative (legal) orders of the communities has pushed the dispute into a different ­ontological realm. The result is a pluralistic picture of transnational law in Cambodia, in which we can better see the way in which nation-states and their constitutions are at times being superseded by transnational actors.

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 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 categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.954
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.003
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.283
Teacher spread0.271 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
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

Citations0
Published2022
Admission routes1
Has abstractyes

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