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Record W4414638506 · doi:10.1007/978-3-031-40799-4_20

Indigenous Knowledge and Perspectives

2025· book-chapter· en· W4414638506 on OpenAlexaff
Stephen Bocking

Bibliographic record

VenueHistoriographies of science · 2025
Typebook-chapter
Languageen
FieldAgricultural and Biological Sciences
TopicIndigenous Knowledge Systems and Agriculture
Canadian institutionsTrent University
Fundersnot available
KeywordsIndigenousTraditional knowledgeColonialismDisciplinePoliticsIntermediaryVariety (cybernetics)Knowledge-based systemsSociology of scientific knowledge

Abstract

fetched live from OpenAlex

Abstract Indigenous knowledge, once dismissed as mere folklore, is now widely recognized as an essential dimension of global environmental knowledge. Indigenous people, once excluded, now participate across a range of environmental affairs. Understanding how and why this has occurred requires attention to a complex history of scientists and others constructing ideas about Indigenous knowledge. A variety of scholars, including historians of science, environmental historians, and political ecologists have examined this history, identifying the factors that have influenced expert, public, and institutional perceptions of Indigenous knowledge. These include various colonial and postcolonial contexts, ideas about development, changes in the natural environment, disciplinary perspectives (such as those of anthropology), and shifting views of human-environment relations. Indigenous peoples – as knowledge producers, brokers, and intermediaries – have been crucial to these evolving perceptions, by asserting that their knowledge can be a means of achieving change in both knowledge and politics. The Arctic provides a distinctive setting in which the historical construction of Indigenous knowledge can be examined in more detail.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.943
Threshold uncertainty score0.905

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 studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.011
GPT teacher head0.192
Teacher spread0.181 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2025
Admission routes1
Has abstractyes

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