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Record W4408122250 · doi:10.1080/02681102.2025.2472495

Indigenous knowledge and information technology for sustainable development

2025· article· en· W4408122250 on OpenAlex

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.

Bibliographic record

VenueInformation Technology for Development · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicIndigenous Knowledge Systems and Agriculture
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsSustainable developmentKnowledge managementInformation technologyTraditional knowledgeIndigenousBusinessEnvironmental planningEnvironmental resource managementPolitical scienceComputer scienceGeographyEnvironmental science

Abstract

fetched live from OpenAlex

Despite the proliferation of IT applications worldwide, Indigenous knowledge remains marginalized in the mainstream information technology (IT) and Information Systems (IS) discourse. This special section explores tensions and opportunities at the intersection of Indigenous knowledge and digital technologies, emphasizing the need for culturally sensitive, inclusive, and ethical approaches to technological innovation. Bridging IT and Indigenous knowledge systems can foster environmental sustainability, digital equity, and social justice while preserving rich cultural heritage. This editorial introduces the special section, which presents ground-breaking research demonstrating the role of IT in Indigenous financial inclusion, culturally sensitive partnerships, and community empowerment. It also calls for increased interdisciplinary scholarship to advance IT solutions that respect and amplify Indigenous voices. By recognizing Indigenous knowledge as a pillar of sustainable innovation, IT and IS research can contribute to a just and inclusive technological future.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.963
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.000
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 head0.005
GPT teacher head0.205
Teacher spread0.200 · 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