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Record W6910540299 · doi:10.48336/6grt-pz60

Settler fire management: an examination of wildfire policy, practice, and research in the boreal forest region of Northern Saskatchewan

2025· article· en· W6910540299 on OpenAlexaffabout

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsIndigenousColonialismBorealTaigaGenocideClimate changeState (computer science)

Abstract

fetched live from OpenAlex

In this dissertation, I provide a place-based examination of settler fire management in the Boreal Forest region of what is lately known as the Canadian province of Saskatchewan. In Chapter 1, I start with a historical examination of settler colonialism in the kistapinānihk, or Prince Albert, region of the province, which is my home community and the site of state-led wildfire management in Saskatchewan. Drawing from Indigenous studies and settler colonial studies research, I argue that settler colonialism in the region is characterized by: the violation of agreements with Indigenous Nations, communities and people; ecological change for the purpose of developing and maintaining settler economies; and settler-led conquest characterized by genocide and Indigenous erasure. In Chapter 2, I describe anti-colonial placed-based research, including how my positioning as a non-Indigenous settler researcher informed my research topics, questions, methods and analysis. In the subsequent article-style chapters, I examine two areas of wildfire management in the province: (1) agency-led wildfire response and policy; and (2) wildfire research and practice as is characterized by dominant science and this dissertation. In Chapter 3, I examine the history of fire tower development in the province, including a recent shift towards remotely-operated cameras, showing how wildfire detection in the province has, at times, been colonial insofar as it renders Indigenous lands and labour exploitable to achieve settler state economic and political goals. In Chapter 4, I document the quarter-century long controversy about what many Indigenous northerners refer to as the ‘Let-it-Burn’ policy, showing how provincial practices of fire suppression render many Indigenous ‘values-at-risk’ expendable under the guiding premise that fires are ‘natural’ in certain regions. In Chapter 5, co-authors Robin Mcleod, Dr. Herman Michell and myself conduct a systematic literature review of wildfire science pertaining to climate change in the province, showing how Indigenous erasure permeates dominant scientific research practices, which in turn impacts scientific knowledge of wildfire issues. In Chapter 6, I examine these findings as they relate to Indigenous and settler jurisdiction, concepts of universalism and place-based knowledge, and settling as research practice. Reframing settling as an ethical orientation to uphold obligations with Indigenous Nations, I suggest that settlers may contribute to anti-colonialism within fire management and research by working collectively with Indigenous Nations to push back against practices of conquest and uphold agreements for shared jurisdiction.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: Evaluation · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.998
Threshold uncertainty score0.474

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.008
Science and technology studies0.0080.005
Scholarly communication0.0040.001
Open science0.0020.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.029
GPT teacher head0.323
Teacher spread0.294 · 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.

Study designQualitative
DomainEvaluation
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
Published2025
Admission routes2
Has abstractyes

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