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Record W2594242929

Aboriginal Dispossession and Proletarianization in Canadian Industrial Capitalism: Creating the Right Profile for the Labour Market

2013· dissertation· en· W2594242929 on OpenAlexaboutno aff
John Albert Bird

Bibliographic record

VenueoURspace (University of Regina) · 2013
Typedissertation
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsProletarianizationCapitalismEconomic systemMarket economyEconomicsPolitical science
DOInot available

Abstract

fetched live from OpenAlex

The central theme of this paper revolves around the dispossession of Aboriginal peoples (First Nations, Métis, and Inuit) from their traditional socio-economic means of production and their subsumption into the industrial-capitalist mode of production. The investigation is a hypothesis about the historical proletarianization process regarding Aboriginal peoples in Canada stemming from dispossession. The analysis utilizes a critical political economic approach primarily in regard the revolutionary power of private property relations as the competitive antithesis to traditional-subsistence economy relations. Positing the facts of Aboriginal proletarianization within a political economic framework is an addition to the critique of capital. The research of the paper is anchored within: the numbered treaty framework and its application, the disciplinary methods of residential schooling systems, assimilation into proletarian ethics, and contemporary statistics about Aboriginal cohorts within the Canadian labour market. The historical research provides evidence about Aboriginal socio-economic dispossession and the contemporary data provides evidence regarding present-day conclusions of the initial industrial-proletarianization processes. Keywords: numbered treaties, residential schools, Aboriginal labour, Aboriginal history, political economy, industrial capitalism, proletarian, Karl Marx.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.958
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
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 head0.006
GPT teacher head0.216
Teacher spread0.210 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2013
Admission routes1
Has abstractyes

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