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Record W7001067354

The Indian Association of Alberta's 1970 Red paper published as a response to the Canadian Federal Government's proposed 1969 White paper on Indian policy

2015· dissertation· en· W7001067354 on OpenAlexaboutno aff

Bibliographic record

VenueOpen ULeth Scholarship (OPUS) (University of Lethbridge) · 2015
Typedissertation
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsNucleofectionTSG101HyporeflexiaDiafiltrationGestational periodPretextProteogenomicsArticular cartilage damage
DOInot available

Abstract

fetched live from OpenAlex

This thesis explores the discourse on treaties and “self-sufficiency” between the 1969 Canadian federal government’s White Paper and the 1970 Indian Association of Alberta’s Red Paper. The White Paper advocated individual “self-sufficiency,” while the Red Paper emphasized treaties, rather than individualism, as a source of Indian “self-sufficiency.” The thesis examines the Red Paper as a political assertion and resistance to assimilation as proposed by the White Paper and, that the Red Paper regarded historical treaties as important to Indian people in Alberta and beyond. Michele Foucault’s concept of “power/knowledge” and Dale Turner’s critique of Western liberal ideas are used in the thesis to examine the idea of assimilation in the White Paper and used to illuminate the Red Paper’s position that treaties were essential to the “discourse” between the federal government and Indian leadership, such as the IAA, between 1969 and1971.

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)0.004
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 score0.094
Threshold uncertainty score0.678

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0200.006
Scholarly communication0.0080.001
Open science0.0010.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0130.001

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 head0.257
Teacher spread0.245 · 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
Published2015
Admission routes1
Has abstractyes

Explore more

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