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Record W7133017665

Coming home as resistance: an anti-colonial process

2004· dissertation· W7133017665 on OpenAlexaboutno aff
Tania Alcaraz Córdoba

Bibliographic record

VenueTSpace · 2004
Typedissertation
Language
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousDecolonizationRacializationColonialismSovereigntyIdentity (music)Subordination (linguistics)
DOInot available

Abstract

fetched live from OpenAlex

I seek to reveal how processes of racialization in Canadian society perpetuate and sustain colonialism and relations of domination and subordination between Indigenous Peoples and dominant society. The theoretical and methodological frameworks that I employ allow me to actively engage in the anti-colonial process. They empower me to reaffirm my location and my identity as a woman of Indigenous ancestry in academia and also within dominant Canadian society. I discuss representation, identity, culture and spirituality, and offer examples of how these concepts have served as colonial tools, while also seeking possibilities for refraining these concepts towards decolonization. I highlight the importance of sovereignty and self-determination for Indigenous Peoples, reflected in the concepts of "claiming voice" and "coming home". This research project is a journey in anti-colonial thought, which I hope may contribute to an on-going dialogue of decolonization for and by Indigenous Peoples throughout the Americas.

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)0.011
metaresearch head score (Gemma)0.023
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.317
Threshold uncertainty score0.630

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.023
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0650.080
Scholarly communication0.0200.011
Open science0.0030.018
Research integrity0.0080.015
Insufficient payload (model declined to judge)0.0050.001

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 head0.016
GPT teacher head0.394
Teacher spread0.378 · 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
Published2004
Admission routes1
Has abstractyes

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