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Record W6988125200

“you are part of the river, even if you have forgotten it”: The Politics of River Writing in Contemporary Indigenous and Canadian Literatures

2023· dissertation· en· W6988125200 on OpenAlexaboutno aff

Bibliographic record

VenueQSpace (Queen's University Library) · 2023
Typedissertation
Languageen
FieldArts and Humanities
TopicEcocriticism and Environmental Literature
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousPoliticsDecolonizationLiterary criticismPraxisMetisAgency (philosophy)
DOInot available

Abstract

fetched live from OpenAlex

My dissertation examines the complex and layered representations of rivers within Contemporary Canadian and Indigenous literatures, revealing the important intersection between rivers, ecocriticism, and Indigenous cultural resurgence. Using criticism by scholars such as Leanne Simpson, Glen Coulthard, and Astrida Neimanis, I examine the different positionalities and voices at the heart of primary texts such as Katherena Vermette’s river woman, Rita Wong’s undercurrent, and Christine Stewart’s Treaty 6 Deixis. Moving between Indigenous, European settler, and diasporic writers currently living on the lands known as Canada, I investigate the practice of ethical allyship and the important connection between literature and life, or art and praxis. As such, my work is just as concerned with politics, and emphasizing the ambitions for decolonial praxis central to many of the works, as it is with examining more conventional literary aspects of river writing. My thesis situates various urgent literary and political issues and focalizes these concerns within the site of Canadian rivers. By putting these texts in conversation, I analyze rivers and their relationships to broader political, cultural, and literary discourses such as second-wave ecocriticism’s preoccupation with incorporating Indigenous knowledges and their sustainable relationships to the land into contemporary environmentalism; decolonization and its re-situation into original political and cultural contexts; the water crisis and the physical and cultural centrality of water to both Indigenous and settler cultures; and contemporary Indigenous Cultural resurgence. Ultimately, cultural representations of rivers reveal that decolonization is inextricably bound to any movement toward ecological sustainability. My dissertation treats the rivers that I discuss as both real—physical, geographical, chemical, environmental, tangible—and symbolic—metaphorical, symbolic, cultural, spiritual, abstracted, theoretical. By keeping a consistent focus on cultural positionalities in my analysis of these texts and their relationship to systems of power, I contend that rivers are a complex literary site because they are important to Indigenous, settler, and diasporic cultures. As such, I determine that rivers are not only a key environmental concern, but they also represent a key dialogic space since they are central to the cultural and social narratives of Indigenous Peoples and settlers alike. Ultimately, I argue that understanding rivers through a more nuanced, non-western, and decolonial lens can help facilitate opportunities for environmentally sustainable and socially just futures. Guided by words like those from Fred Wah, who says “you are part of the river, even if you have forgotten it,” my project seeks to expose the ways in which examining our relationships to rivers can help to create decolonial and sustainable futures.

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)0.008
metaresearch head score (Gemma)0.011
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 score0.126
Threshold uncertainty score0.912

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.006
Science and technology studies0.0760.072
Scholarly communication0.0250.006
Open science0.0030.007
Research integrity0.0040.005
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 head0.010
GPT teacher head0.179
Teacher spread0.168 · 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
Published2023
Admission routes1
Has abstractyes

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