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Record W2307926204

Aboriginal Genocide in Canada and Achieving Transitional Justice

2015· article· en· W2307926204 on OpenAlexaboutno aff
Paula Fernandes Dewar

Bibliographic record

VenueMalmö University Publications (Malmö University) · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsGenocideTransitional justicePolitical scienceCriminologyEconomic JusticeSociologyLaw
DOInot available

Abstract

fetched live from OpenAlex

The indigenous peoples of Canada have been severely mistreated since the period of European colonization and the founding of the country up to the end of the last century, resulting in serious human rights disparity. Aboriginal leaders, some politicians and members of the public are calling past actions, genocide. Principally a philosophical thesis, this paper deals with the question of the Government of Canada recognizing that their historical treatment of the indigenous peoples of Canada was genocide and whether, in light of the facts that have come to view in the past twenty years, it is the just response from the government; which I contend would result in aiding the nation to heal and move forward. The component parts for understanding this issue – the Aboriginals, history of the Indian Residential School System, genocide and culture, and transitional justice - are viewed through a conceptual analysis of these contexts, with post-colonial discourse narrative. In this way, one can judge based on merit the validity of the argument. I conclude with a philosophical analysis in normative ethics, that transitional justice and equitable rights fulfillment cannot move forward for all Canadians, if the label of genocide is not acknowledged as applicable to the era of the Indian Residential Schools.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.930
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.014
GPT teacher head0.195
Teacher spread0.181 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2015
Admission routes1
Has abstractyes

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