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Record W4394909786 · doi:10.4337/9781800889156.00025

First Nations foundations: cities and the infrastructuring of settler colonisation

2024· book-chapter· en· W4394909786 on OpenAlexaboutno aff
Holly Randell‐Moon

Bibliographic record

VenueEdward Elgar Publishing eBooks · 2024
Typebook-chapter
Languageen
FieldEnvironmental Science
TopicAmerican Environmental and Regional History
Canadian institutionsnot available
Fundersnot available
KeywordsColonisationGeographyArchaeologyColonization

Abstract

fetched live from OpenAlex

The infrastructuring of First Nations land into cities is a central project of settler colonisation. In the lands now known as Canada, Australia, New Zealand, and the United States, settler-colonial myths of ‘uncultivated’ territory justified English invasion and settlement. These myths continue to inform contemporary infrastructure development and discourse which resist First Nations’ sovereignties and self-determination even as the latter unsettles settler-colonial infrastructuring. Analysing how settler permanence is infra/structured discloses the settler-colonial dynamics of urbanisation. This chapter offers a predominantly theoretical account of how urban infrastructuring is a constitutive feature of settler colonisation and how settler-colonial urban imaginaries construct both urbanisation and infrastructure as non-Indigenous. The chapter uses the case study of Sydney, situated in the Eora Nation, to illustrate the relations between urban infrastructure, settler colonisation, and First Nations.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.848
Threshold uncertainty score0.998

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 studies0.0000.004
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.010
GPT teacher head0.192
Teacher spread0.182 · 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.

Study designTheoretical or conceptual
Domainnot available
GenreOther

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

Citations2
Published2024
Admission routes1
Has abstractyes

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