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Record W1949947267

Co-Management: An Aboriginal Response to Frontier Development

2001· article· en· W1949947267 on OpenAlexaboutno aff
David Natcher

Bibliographic record

VenueNorthern review · 2001
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsnot available
Fundersnot available
KeywordsRestructuringPoliticsDecentralizationFrontierCornerstoneState (computer science)Independence (probability theory)Government (linguistics)Resource (disambiguation)Public administrationIndigenousFlourishingPolitical scienceResource management (computing)Power (physics)Public relationsSociologyPolitical economyLawGeographyComputer science
DOInot available

Abstract

fetched live from OpenAlex

Recognizing that socio-political change will not be achieved through isolation and independence, Aboriginal communities from across Canada are pursuing multi-actor frameworks of co-operation in an effort to redefine existing institutions of power and authority. The extent to which this restructuring is viable has involved the implementation of co-management institutions that have redefined methods of resource management specifically, and local-state relations more generally. That is, beyond specific resource-related issues, institutions of co-management are proving to have broader social, legal and political influence in addressing Aboriginal claims in the state system. Thus the decentralization of state control over Aboriginal homelands should be seen as a cornerstone in the much larger agenda for Aboriginal self-determination. Pulling examples from across Canada, this paper demonstrates that institutions of co-management, between Aboriginal resource users and government agencies, are evolving, and in many cases flourishing in response to an array of resource management issues, often stemming from situations of conflict.

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)0.004
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.283
Threshold uncertainty score0.562

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.003
Scholarly communication0.0040.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.012
GPT teacher head0.269
Teacher spread0.257 · 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 designQualitative
Domainnot available
GenreEmpirical

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

Citations9
Published2001
Admission routes1
Has abstractyes

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