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Record W7018062754

Colonial Traumas, Indigenous Survivance: A Trans-Indigenous Literary Study

2022· dissertation· en· W7018062754 on OpenAlexaboutno aff

Bibliographic record

VenueFigshare · 2022
Typedissertation
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousColonialismTabooNarrativeOppressionDecolonizationMAGIC (telescope)Shamanism
DOInot available

Abstract

fetched live from OpenAlex

This research explores representations of colonial trauma and Indigenous heal-ings in a selection of twenty-first-century Indigenous novels from different Indigenous cultural and geopolitical contexts and distinct literary traditions and genres across what is known today as North America and Australia. The four core chapters are divided into two interrelated, over-arching axes centred on Indige¬nous representations of colonial traumas and healing. The first, comprising chap¬ters One and Two, investigates literary representations of colonial traumas in Indigenous fiction by considering the structural/material and subjec-tive/psychological dimensions of colonial domination within particularities of set-tler-colonial structures and histories of dispossession. Chapter One explores There There (2018) by Cheyenne novelist Tommy Orange and Taboo (2017) by Noongar writer and activist Kim Scott. It investigates narrative registers and aes-thetic techniques employed by the authors to inscribe traumas of colonial moder-ni¬ty experienced by the Indigenous communities represented in their nov¬els within the broader settler-colonial structures and histories of dispossession. Chapter Two examines representations of the psycho-affective dimension of co-loni¬al oppression in Indian Horse (2012) by Ojibwe writer and journalist Richard Wagamese and Swallow the Air (2006) by Wiradjuri writer Tara June Winch, fo-cus¬ing on the registration of the traumatic impact of racism. The second part, comprising chapters Three and Four, addresses representations of healing in Indige¬nous futurisms and wonderworks, attending to their aesthetic mobilisation of specific Indigenous epistemologies, ontologies, and worldviews to present nar-ra¬tives of Indigenous survivance that reflect Indigenous decolonial perspec¬tives on sovereignty in its material, cultural, and subjective dimensions. Chapter Three approaches two works of Indigenous futurisms: Killer of Enemies (2013) by Abenaki writer Joseph Bruchac and The Interrogation of Ashala Wolf (2012) by Palyku writer and scholar Ambelin Kwaymullina. It explores the aesthetics of surviv¬ance inscribed through the ethical and aesthetical engagements with and deploy¬ment of aspects pertaining to the authors’ respective Indigenous knowledge sys¬tems, worldviews, and storytelling traditions in futuristic narratives. This, the chap¬ter argues, reflects the novels’ endeavours to create sites of healing by asserting visions of Indigenous cultural and territorial sovereignties and agen¬cies. Chapter Four reads two Indigenous wonderworks: Catching Teller Crow (2018) by Palyku siblings and writers Ambeline and Ezekiel Kwaymullina (Aus¬tralia) and Split Tooth (2018) by Inuk throat-singer and writer Tanya Tagaq (Inu¬it/Canada). It explores representations of healing from a psychological/subjective perspective, focusing on how healing, resilience, and psychological survivance are anchored within specific Indigenous worldviews and perspectives. This thesis contributes to the growing field of trans-Indigenous literary studies and aims to enrich the ongoing project of decolonising trauma studies.

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)0.004
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.004
Science and technology studies0.0190.013
Scholarly communication0.0090.005
Open science0.0010.008
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.025
GPT teacher head0.341
Teacher spread0.316 · 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
Published2022
Admission routes1
Has abstractyes

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