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Record W6994407647

Indigenous Peoples

2016· report· en· W6994407647 on OpenAlexaboutno aff

Bibliographic record

VenueThe World Bank Open Knowledge Repository (World Bank) · 2016
Typereport
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousProsperityDisadvantagedQuarter (Canadian coin)Panel discussionMemorandum of understanding
DOInot available

Abstract

fetched live from OpenAlex

The Inspection Panel was created in 1993
\n by the Board of Executive Directors of the World Bank to
\n receive complaints submitted by people suffering harm
\n allegedly caused by World Bank projects. This experience
\n provides important lessons for both the Bank and for the
\n global development community at large. The Panel therefore
\n launched this series of publications to draw the main
\n emerging lessons from its caseload. While Panel cases tend
\n to highlight challenging projects where things went wrong
\n and are not necessarily reflective of the Bank’s entire
\n portfolio, the lessons nonetheless are important. This
\n exercise is intended to help build the institutional
\n knowledge base, enhance accountability, foster better
\n results in project outcomes, and, ultimately, contribute to
\n more effective development with shared prosperity for all.
\n The series is organized around the most recurrent issues in
\n Panel investigations. This report, the second in the series,
\n covers Panel cases that focused on Indigenous Peoples’
\n issues. Currently, there are approximately 370 million
\n self-identified Indigenous Peoples in some 90 countries
\n worldwide. They are among the world’s most vulnerable,
\n marginalized, and disadvantaged groups. According to the
\n World Bank, while Indigenous Peoples own, occupy, or use a
\n quarter of the world’s surface area, they safeguard 80
\n percent of its remaining biodiversity, and some of the most
\n biologically important lands and waters are intact as a
\n result of Indigenous Peoples’ stewardship. Their knowledge
\n and expertise on how to adapt, mitigate, and reduce risks
\n from climate change and natural disasters are considered
\n vital. Adequately responding to these challenges requires
\n considering Indigenous Peoples as fundamental stakeholders
\n and important partners in the development process. The Bank
\n has undertaken several reviews and evaluations of its
\n Indigenous Peoples Policy since 1982.The Inspection Panel’s
\n mandate covers projects financed by the International Bank
\n for Reconstruction and Development (IBRD) and the
\n International Development Association (IDA). The Compliance
\n Advisor Ombudsman handles complaints related to projects
\n financed by the International Finance Corporation and the
\n Multilateral Investment Guarantee Agency. In this report,
\n the World Bank (or Bank) refers to IBRD and IDA only.

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)0.009
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Open science, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.111
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.001
Meta-epidemiology (narrow)0.0040.003
Meta-epidemiology (broad)0.0050.002
Bibliometrics0.0040.006
Science and technology studies0.0050.002
Scholarly communication0.0030.001
Open science0.0150.009
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0050.043

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 head0.043
GPT teacher head0.334
Teacher spread0.292 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2016
Admission routes1
Has abstractyes

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