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Record W7084113074 · doi:10.1007/s44282-025-00257-7

A scoping review of the sustainable development goals and indigenous peoples: direction for a post-2030 agenda

2025· article· en· W7084113074 on OpenAlexafffund

Bibliographic record

VenueDiscover Global Society · 2025
Typearticle
Languageen
FieldMaterials Science
TopicNanocomposite Films for Food Packaging
Canadian institutionsCanadian Rural Health Research SocietyAurora CollegeGwich'in Council InternationalUniversity of Saskatchewan
FundersCrown-Indigenous Relations and Northern Affairs Canada
KeywordsIndigenousSustainable developmentCorporate governanceSustainabilityDeclarationIndigenous rightsDeveloping countryHuman rights

Abstract

fetched live from OpenAlex

In this paper, we present the results of a scoping literature review that was conducted to assess the ways in which the Sustainable Development Goals (SDGs) are (mis)aligned with the needs, values, and rights of Indigenous peoples. Despite purported commitments to engage Indigenous peoples, those efforts proved ineffectual, resulting in the erasure of Indigenous cultures and dereliction of Indigenous rights. Yet the literature shows that Indigenous communities and organizations are mobilizing self-determined movements, empowered by the United Nations Declaration on the Rights of Indigenous Peoples, that challenge the universality of the SDG framework. This includes developing their own goals and indicators to inform development priorities and to mitigate the detrimental governance effects of global goal setting. In developing these goals and indicators themselves, Indigenous peoples are challenging the normalizations of the SDGs by offering their own conceptions of sustainability and the cultural virtues that can inform self-determined forms of development.

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)0.046
metaresearch head score (Gemma)0.084
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.046
Threshold uncertainty score0.244

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0460.084
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0240.024
Science and technology studies0.0030.004
Scholarly communication0.0090.009
Open science0.0020.005
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0030.001

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 head0.008
GPT teacher head0.286
Teacher spread0.279 · 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 designSystematic review
Domainnot available
GenreReview

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
Published2025
Admission routes2
Has abstractyes

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