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Record W7139546844

Review of <i>Lethal Legacy: Current Native Controversies inCanada</i> By J. R. Miller

2007· article· W7139546844 on OpenAlexaboutno aff
Nathalie Kermoal

Bibliographic record

VenueLincoln (University of Nebraska) · 2007
Typearticle
Language
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsMetisMillerNative americanIdentity (music)Race (biology)Indigenous
DOInot available

Abstract

fetched live from OpenAlex

Apart from being from Western Canada, what do Louis Riel and Peter Lougheed have in common? According to J. R. Miller, the two have a shared heritage: both are Metis. Yet, in the eyes of Canadians, one is always identified as Metis while the other is not. This interesting parallel helps the author grapple with the complicated question of Native identity in the first chapter of Lethal Legacy: Current Native Controversies in Canada. The reasons for writing a book with such a title are clearly indicated in the preface. Miller-professor of history and Canada Research Chair in Native-newcomer Relations at the University of Saskatchewan and the author of Shingwauk's Vision: A History of Native Residential Schools (1996)-hopes to help Canadians " understand more fully the issues and the ramifications of Native-newcomers relations." His account provides numerous examples going well back in history to make its points and to unravel the roots of contemporary conflicts or questions that still baffle the majority of Canadians. Miller covers topics such as Native identity, selfgovernment, treaties, attitudes to land and ownership, and assimilation. For each of these sections he offers a concise but precise account of Canadian Aboriginal history. He touches on many sensitive issues such as Residential schools, the work of the missionaries, and Native claims, to name a few. Aboriginal women and contemporary Metis issues are noted as well. Each chapter is accompanied by a short bibliography. Pictures, drawings, and an index are also included. While the author acknowledges the fact that there are no easy solutions to current Native-newcomer problems, he nevertheless proposes one. According to Miller, three options have emerged in Canada: the two-row wampum (that is, parallel development between Aboriginal and non-Aboriginal peoples); assimilation; and "Citizen Plus," a middle-ground option that combines "a respect for difference with an appeal for unity based on a shared citizenship" (Andrew Parkin, in Centre for Research and Information on Canada, Bridging the Divide Between Aboriginal Peoples and the Canadian State [2001], 4). While he has doubts about the "parallel sovereignties of the two-row wampum," he rejects the second option, for reasons he clearly exposes throughout the book, and favors the last. Political scientist Alan Cairns, in his Citizens Plus: Aboriginal Peoples and the Canadian State (2000), has extensively debated the benefits of "Citizen Plus." At the time, Aboriginal scholars clearly indicated that they were not in favor of "Citizen Plus" due in part to the fact that "a renewed 'citizens plus' rhetoric does not easily fit into the legal dialogue that has emerged over the past 20 years" (Patricia Monture-Angus, "Citizens Plus: Sensitivities versus Solutions," in Bridging the Divide, 10). Six years later, it is doubtful that Aboriginal people would be any more in favor of such an alternative. While Miller is entitled to his opinion, the last chapter is therefore the weak link in an otherwise well-researched and fascinating book. Lethal Legacy will be highly appreciated by undergraduate students and ordinary citizens interested in Canadian Aboriginal history. It should serve as an excellent textbook in history, Native studies, and Canadian studies courses and a quick reference for scholars and students alike.

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)0.003
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.653
Threshold uncertainty score0.690

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0050.014
Science and technology studies0.0040.004
Scholarly communication0.0050.004
Open science0.0030.002
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0050.002

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 head0.012
GPT teacher head0.273
Teacher spread0.261 · 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 designNot applicable
Domainnot available
GenreReview

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
Published2007
Admission routes1
Has abstractyes

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