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Record W2914316152 · doi:10.5287/ora-zbkae2axe

Prioritising indigenous representations of geopower: the case of Tulita, Northwest Territories, Canada

2018· dissertation· en· W2914316152 on OpenAlexaboutno aff
Brice Perombelon

Bibliographic record

VenueOxford University Research Archive (ORA) (University of Oxford) · 2018
Typedissertation
Languageen
FieldSocial Sciences
TopicWater Governance and Infrastructure
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousGeographyPolitical scienceEcology

Abstract

Recent calls from progressive, subaltern and postcolonial geopoliticians to move geopolitical scholarship away from its Western ontological bases have argued that more ethnographic studies centred on peripheral and dispossessed geographies need to be undertaken in order to integrate peripheralised agents and agencies in dominant ontologies of geopolitics. This thesis follows these calls. Through empirical data collected during a period of five months of fieldwork undertaken between October 2014 and March 2015, it investigates the ways through which an Indigenous community of the Canadian Arctic, Tulita (located in the Northwest Territories’ Sahtu region) represents geopower. It suggests a semiotic reading of these representations in order to take the agency of other-than/more-than-human beings into account. In doing so, it identifies the ontological bases through which geopolitics can be <em>indigenised</em>. Drawing from Dene animist ontologies, it indeed introduces the notion of a place-contingent <em>speculative geopolitics</em>. Two overarching argumentative lines are pursued. First, this thesis contends that geopower operates through metamorphic refashionings of the material forms of, and signs associated with, space and place. Second, it infers from this that through this transformational process, geopower is able to create the conditions for <em>alienating</em> but also <em>transcending</em> experiences and meanings of place to emerge. It argues that this movement between conflictual and progressive understandings is dialectical in nature. In addition to its conceptual suggestions, this thesis makes three empirical contributions. First, it confirms that settler geopolitical narratives of sovereignty assertion in the North cannot be disentangled from capitalist and industrial political-economic processes. Second, it shows that these processes, and the geopolitical visions that subtend them, are materialised in space via the extension of the urban fabric into Indigenous lands. Third, it demonstrates that by assembling space ontologically in particular ways, geopower establishes (and entrenches) a geopolitical distinction between living/sovereign (or governmentalised) spaces and nonliving/bare spaces (or spaces of nothingness).

Stored with the screening record, where it is evidence for the labels above.

How this classification was reachedexpand

The three-model screen

all 5,600 screened works →

All three models called this out of scope.

stratum: about_only · design weight: 3321.24 (the sample is stratified; any rate computed without the weight is wrong)
Claude Opus 4.8OUT
genre: empirical
about Canada: no
confidence: medium

Ethnography of Indigenous representations of geopower in Tulita; disciplinary reflexivity appears only in the framing, the object is the community.

GPT-5.6 (high)OUT
genre: empirical
about Canada: no
confidence: high

The thesis studies Indigenous representations of geopower, not research or science as a social system.

Grok 4.5OUT
genre: empirical
about Canada: no
confidence: high

Indigenous geopolitics ethnography of Tulita; object is geopower and place, not research systems.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.109
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0390.015
Scholarly communication0.0080.003
Open science0.0020.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.014
GPT teacher head0.274
Teacher spread0.259 · 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
Published2018
Admission routes1
Has abstractyes

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