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Record W1569493566 · doi:10.3138/jcs.43.3.69

Linking Traditional Knowledge and Environmental Practice in Ontario

2009· article· en· W1569493566 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.

venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Canadian Studies · 2009
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsConvention on Biological DiversityTraditional knowledgeCommissionIndigenousEnvironmental ethicsPolitical scienceValue (mathematics)SociologyResource (disambiguation)ConventionEnvironmental resource managementPublic relationsEngineering ethicsLawBiodiversityEcologyEngineeringComputer science

Abstract

fetched live from OpenAlex

Beginning in the late 1980s with the release of Our Common Future by the World Commission on Environment and Development, followed by the development of international accords such as the 1992 Convention on Biological Diversity, international pressure to resolve Indigenous rights issues has been steadily mounting. Successive Canadian governments have been striving increasingly to recognize and incorporate Aboriginal traditional knowledge into resource management planning. Following more than a decade of such efforts, the question of how to achieve such incorporation appropriately remains inadequately answered. This essay contributes to the resolution of this issue by first clarifying some key differences between Aboriginal and non-Aboriginal definitions of "traditional knowledge." Then, three Ontario case studies are briefly described that highlight the most and least successful aspects of previous undertakings. Among the lessons learned are the need to value traditional knowledge on a par with Western science while recognizing the particular capabilities of each system, and the requirement that Aboriginal peoples and their knowledge participate on a mutually respectful basis.

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.792
Threshold uncertainty score0.922

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.089
GPT teacher head0.363
Teacher spread0.274 · 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