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Record W4403105342 · doi:10.1080/13642987.2024.2407529

The global implementation of UNDRIP: a thematic review

2024· review· en· W4403105342 on OpenAlex
Isabelle Côté, J. Andrew Grant, Victoria Elizabeth McLean, Matthew I. Mitchell, Dimitrios Panagos

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueThe International Journal of Human Rights · 2024
Typereview
Languageen
FieldSocial Sciences
TopicGlobal Peace and Security Dynamics
Canadian institutionsUniversity of SaskatchewanQueen's UniversityMemorial University of Newfoundland
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsHuman rightsPolitical scienceThematic mapPublic administrationEngineering ethicsEnvironmental ethicsLawGeographyCartographyEngineeringPhilosophy

Abstract

fetched live from OpenAlex

Following almost 25 years of work, the United Nations Declaration on the Rights of Indigenous Peoples (UNDRIP) was adopted by the United Nations General Assembly in 2007. UNDRIP has been widely recognised as an authoritative statement of human rights norms concerning Indigenous peoples around the world. However, meaningful implementation of UNDRIP has been slow. To better understand the pace and challenges facing implementation, we identify and analyze four key recurring themes that emerge from the growing literature on this topic. This includes (1) Indigenous self-determination versus state autonomy as a driver of potential conflict; (2) the meaning of Free, Prior, and Informed Consent (FPIC) in the context of UNDRIP; (3) the nexus between land, culture, and self-determination; and (4) Western/Global North influence over non-Western/Global South state implementation of UNDRIP. We examine several specific examples from across the globe to reveal the continuities and discontinuities across these four themes. The article concludes by offering ideas on how the limits of the present study and wider literature on UNDRIP might be rectified. That is, by incorporating a greater number of Indigenous perspectives on UNDRIP and adding more studies of governance and implementation challenges encountered in countries located in the Global South.

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)0.002
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.850
Threshold uncertainty score0.488

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.000
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 head0.051
GPT teacher head0.485
Teacher spread0.434 · 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