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Record W2338824741

Who are the Métis? Exploring an Aboriginal Identity

2016· article· en· W2338824741 on OpenAlexaboutno aff
Paul L. Gareau

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsMetisIndigenousPoliticsGovernment (linguistics)ColonialismIdentity (music)First nationPolitical scienceGenealogyGender studiesSociologyEthnologyHistoryLawEcology
DOInot available

Abstract

fetched live from OpenAlex

Lecture Series Description: Who are the Metis? Are they a mixed-raced people or a distinct Indigenous nation? The Metis are in fact a postcontact, aboriginal community that emerged from the economic synergy between different fur trading companies and Indigenous peoples in Central and Western Canada (17th to 19th centuries). Initially the children of European men and Indigenous women, the Metis quickly became a distinct nation with distinguishing cultural expressions, political organization, and social frameworks. However, today more than ever, the Metis remain an enigma to Canadian governmental agencies as well as to the general public. Over six weeks, this lecture series will rectify misperceptions of Metis identity by focusing on three elements: 1) reviewing the historical rise of the Metis nation (17th to the 19th centuries); 2) outlining the impact of Canadian colonial policies on Metis people (late 19th to 20th centuries); and 3) discussing the current realities of Metis identity politics both with the federal government and within the communities. This lecture series will provide a grounded and contemporary understanding of a longstanding and vibrant aboriginal community.

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)0.002
metaresearch head score (Gemma)0.002
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 score0.915
Threshold uncertainty score0.168

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0090.007
Scholarly communication0.0060.004
Open science0.0010.004
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0110.002

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 head0.125
GPT teacher head0.441
Teacher spread0.315 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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