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Record W4407025185 · doi:10.5070/lp65164812

Infrastructural (Dis)Entitlement: Tactics of Dispossession on the Critical Minerals Frontier

2025· article· en· W4407025185 on OpenAlexfundaboutno aff
Dayna Nadine Scott

Bibliographic record

VenueJournal of Law and Political Economy · 2025
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsEntitlement (fair division)FrontierPolitical scienceEconomicsLawMathematical economics

Abstract

fetched live from OpenAlex

In Ontario’s far north, settler state authorities and extractive firms are engaged in coordinated tactics to gain ground amid a polarization in the positions of Indigenous leadership. Alongside a surging resistance, we also witness a resigned acceptance of critical minerals mining by some First Nations. Drawing on years of community-engaged research, I detail here the contemporary tactics of “infrastructural (dis)entitlement:” in this dynamic, infrastructural needs are both denied and fulfilled to differential effect. Infrastructural disentitlement is passive; it is not necessarily deliberate, nor is it politically or institutionally organized. But infrastructural entitlement is strategic and aggressive: Indigenous prosperity and inclusion are key elements of the contemporary liberal justification for critical minerals extraction. From this, a pattern emerges of places toward which resources are flowing and places out of which they are draining. The chronic lack of community-focused infrastructure in some remote First Nations—characterized as a form of “letting die”—creates an attritional force that undermines the communities’ capacity to defend their homelands, to the advantage of the settler state and extractive firms.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.911
Threshold uncertainty score0.161

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.008
GPT teacher head0.253
Teacher spread0.244 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations4
Published2025
Admission routes2
Has abstractyes

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