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Lyell Island (Athlii Gwaii) Case Study: Social Innovation by the Haida Nation

2014· article· en· W1949726086 on OpenAlexaffabout
Suzanne von der Porten

Bibliographic record

VenueAmerican Indian Culture and Research Journal · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsFirst Nations University of CanadaUniversity of Waterloo
Fundersnot available
KeywordsIndigenousColonialismContext (archaeology)Stewardship (theology)VisionIndigenous rightsFirst nationArchaeologyPolitical scienceHistoryEthnologyLawSociologyHuman rightsPoliticsAnthropologyEcology

Abstract

fetched live from OpenAlex

The logging blockade on Lyell Island in British Columbia, Canada in 1985, together with the events surrounding it, was an important indigenous-led social innovation by the Haida Nation. The social innovation itself was three-fold: (1) it changed the way indigenous nations in Canada reasserted themselves as self-determining; (2) for the Haida Nation to assert their Aboriginal rights and title to the land and resources of Haida Gwaii was an important step, the first of many; and (3) it changed the way environmental campaigns were conducted, both in Canada and internationally. In the 1980s relations between indigenous nations and the British Columbian and Canadian governments were embedded in an enduring, patriarchal-colonial sociopolitical and legal context. The Haida Nation's assertion of land rights and title was an initiative that changed the basic routines, authority flows and beliefs of the social system in British Columbia and Canada. The message that the Haida Nation's traditional territory was not to be exploited in a way that was incongruent with their visions of stewardship of their land had broad and lasting impact that clearly changed a larger institutional and sociopolitical context. The Haida not only created a precedent, but also a catalyst for action with regards to co-management, environmental advocacy, indigenous governance and Aboriginal rights.

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)0.006
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.669
Threshold uncertainty score0.974

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0270.001
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 head0.036
GPT teacher head0.398
Teacher spread0.362 · 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.

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

Citations3
Published2014
Admission routes2
Has abstractyes

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