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Record W4230328979 · doi:10.1177/117718011401000404

Asserting Mino Pimàdiziwin on Unceded Algonquin Territory: Experiences of a Canadian “non-status” First Nation in re-establishing its traditional land ethic

2014· article· en· W4230328979 on OpenAlexafffundabout
Miguel Sioui, Robert McLeman

Bibliographic record

VenueAlterNative An International Journal of Indigenous Peoples · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsWilfrid Laurier UniversityCarleton University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsGeneral partnershipGovernment (linguistics)SovereigntyEnvironmental ethicsResource (disambiguation)Citizen journalismOddsSociologyPolitical scienceGeographyEconomic growthPoliticsLaw

Abstract

fetched live from OpenAlex

Canadian non-status First Nations are often in conflict with more powerful private interests over resource development on their traditional lands. In response, some non-status First Nations are using traditional environmental knowledge and self-developed spiritual ecologies to reassert sovereignty over ancestral territories. One such group, the Ardoch Algonquin First Nation (AAFN), carries out traditional activities including canoe building, hunting, trapping, and harvesting manoomiin (wild rice) on their traditional lands. AAFN members have had several non-violent conflicts with outside interests over land use in recent years. Our multi-year participatory research project sought to understand AAFN's traditional spiritual ecology (mino pimàdiziwin) as practised by its members, and systematically compare it with land- use ethics underlying resource development strategies promoted by Ontario's government. The two are fundamentally at odds, creating potential for future conflicts, but some opportunities for future partnership and collaboration exist. The findings contribute to broader efforts to understand challenges faced by non-status First Nations.

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)0.003
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.241
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.000
Science and technology studies0.0020.000
Scholarly communication0.0000.001
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 head0.062
GPT teacher head0.324
Teacher spread0.262 · 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

Citations7
Published2014
Admission routes3
Has abstractyes

Explore more

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