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Record W7064397623

Contracolonial Practices in Salish Sea Namescapes

2023· dissertation· en· W7064397623 on OpenAlexaboutno aff

Bibliographic record

VenueUVic’s Research and Learning Repository (University of Victoria) · 2023
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsToponymyIndigenousGeographerMetisSpace (punctuation)ManifestoSense of placeLanguage geography
DOInot available

Abstract

fetched live from OpenAlex

This portfolio dissertation emerges from the observation that Indigenous and settler toponyms are fundamentally unequal in the Salish Sea’s diverse namescape. To explore these toponymic inequities, I ask the following question: if settlers and their toponymic systems fail to make space for or to acknowledge Indigenous toponymies in the Salish Sea, particularly in W̱SÁNEĆ territories, what do these failures say about the settler state’s approaches to attendant questions around land and, ultimately, space for Indigenous worldviews? To answer this question, I examine toponymic justice and Indigenous/settler toponymic equity through thematically linked but separate articles, a public-facing blog, and an interactive art installation. The prologue situates me as a settler scholar attempting to do anticolonial scholarship and art. The introduction frames my academic perspectives on toponyms and settler approaches to understanding Indigenous toponymic resurgence. In the first article, I discuss the PKOLS/Mount Douglas toponym(s) and renaming ceremony and explore “decolonization” through toponymic means. In the second article, I analyze toponymic power dynamics in the Salish Sea, by conceptualizing a “panoptoponymy”—a toponymic version of a panopticon—and describing its toponymic-power functions through the example of the British Columbia Geographical Names Office. In the third article—through a skateboarding lens and the voices of some Indigenous skaters, artists, and writers—I conceive of and define a “skatescape”: a geospatial awareness particular to skateboarders. The fourth article is a manifesto that details the theory and practice involved in building the first prototype of a “haptic map,” an interactive art-map installation the features audio recordings of both SENĆOŦEN (a language spoken by W̱SÁNEĆ Peoples) and English toponyms. The final article is a collection of the public-facing blog posts that discuss the construction of the first haptic map prototype, the Untitled ṮEṮÁĆES map, and provide thoughts and resources on toponyms. I contend that the Untitled ṮEṮÁĆES map, and the way in which it was conceived and constructed, can serve as a model for future academic and artistic collaborations; it is one answer to the question of how to address Indigenous/settler toponymic inequities in the Salish Sea. Built with TEMOSEṈ (Charles “Chazz” Elliott), a professional artist and carver from W̱JOȽEȽP (Tsartlip) First Nation, this unique map offers new ways to represent and combine Indigenous and settler spatial literacies and represents new methodologies for Indigenous/settler cartographic collaborations.

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)0.006
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 score0.850
Threshold uncertainty score0.298

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0160.025
Scholarly communication0.0070.004
Open science0.0010.009
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.022
GPT teacher head0.305
Teacher spread0.283 · 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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