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Record W7034310095

The Survivance of Water and Rock: An Environmental History and Settler Autoethnography of Nishnaabeg Thought Worlds, Other-than-Human Personhood, and the Trent-Severn Waterway

2024· other· en· W7034310095 on OpenAlexfundaboutno aff

Bibliographic record

VenueYork University Digital Library (York University) · 2024
Typeother
Languageen
FieldEnvironmental Science
TopicAmphibian and Reptile Biology
Canadian institutionsnot available
FundersYork University
KeywordsAutoethnographyPersonhoodSolidarityIndigenousNarrativeOral historyEnvironmental historyQualitative research
DOInot available

Abstract

fetched live from OpenAlex

This dissertation is a combination of environmental history and autoethnography exploring what it means and looks like for the author to earnestly try to take Indigenous Nishnaabeg understandings of other-than-human personhood seriously, when he is a settler, living within a dominant settler Canadian thought world. Within Nishnaabeg thought worlds, other-than-human beings—plants, animals, waters, rocks, and other beings—can be persons, kin, and nations possessing capacities including agency, animacy, and spirit. As a case study, the author contrasts dominant settler narratives of the Trent-Severn Waterway (TSW) with Nishnaabeg understandings of the other-than-human persons that the waterway was built onto and into, gathering information through a walking methodology, semi-structured interviews with Nishnaabeg knowledge keepers and settlers working in solidarity with Nishnaabeg communities along the TSW, textual analysis, and archival research. The TSW is a 386-kilometer-long system of locks, dams, and canals built onto waterbodies throughout what is now considered central Ontario, Canada, to connect Chi’Nibiish (Lake Ontario) with Waasegamaa (Georgian Bay) on Odawa Zaagigan (Lake Huron). Analyzing and applying concepts of settler colonialism, the author demonstrates the settler-colonial imposition and violence of the TSW against Nishnaabeg Nations and their other-than-human relations. The author then considers how settlers might redevelop relationships with other-than-human persons by critically reflecting on his practice of using a walking methodology to spend time with and learn from other-than-human persons impacted by the TSW. Finally, the author explores other-than-human survivance, speculating on how various other-than-human persons actively and agentially survive against and resist the TSW. Through these inquiries, the author centers other-than-human persons in an analysis of settler colonialism and examines how settlers might take other-than-human personhood seriously, in order to develop ethical relationships with other-than-human persons, better align settlers with Nishnaabeg and other Indigenous efforts to dismantle settler colonialism, and explore what possibilities there are for settlers to realize new thought worlds. The dissertation closes with the author considering further areas of inquiry that arise out of this research project and sharing insights on how Nishnaabeg thought worlds might provide inspiration and aspirations for settlers striving to realize new thought worlds.

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)0.003
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.769
Threshold uncertainty score0.459

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0190.015
Scholarly communication0.0050.004
Open science0.0010.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.149
Teacher spread0.143 · 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
Published2024
Admission routes2
Has abstractyes

Explore more

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