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Introduction: Narratives and Temporalities of Infrastructure in Canada

2025· article· en· W4416193797 on OpenAlexaffvenueabout
Philipp Budka, Giuseppe Amatulli

Bibliographic record

VenueAnthropologica · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicWater Governance and Infrastructure
Canadian institutionsCarleton University
Fundersnot available
KeywordsTemporalitiesNarrativeTemporalityPrecarity

Abstract

fetched live from OpenAlex

Approaches to InfrastructureI nfrastructures lie at the core of numerous social transformations, sociopolitical and economic developments, and creative processes of innovation.They have become significant indicators of an ongoing transition towards preferable futures, symbols of economic growth, technological advancement, and modernization.As Harvey and Knox (2012, 523) argue, infrastructures embody "promises of emancipatory modernity"-such as speed, connectivity, and economic prosperity; they "enchant" the hopes and dreams associated with development.Infrastructures contribute to imaginaries of improved futures, which remain elusive, flawed, and difficult to define (Abram and Weszkalnys 2013).Operating "on the level of fantasy and desire" (Larkin 2013, 333), infrastructures "draw together political and economic forces in complicated ways and often with unexpected effects," implicating "broader dynamics of social change" (Harvey, Jensen, and Morita 2017, 2).Although infrastructures are inherently future-oriented-serving as vehicles of domination and transformation-they are designed and assembled in ways that sustain contemporary settler states and societies.This process is shaped by power relations, sociopolitical change, and the material organization of everyday life in space and time (Spice 2018).Pasternak and colleagues (2023) demonstrate how infrastructure functions as a tool of settler colonialism.Infrastructures-such as roads, pipelines, and energy grids-not only facilitate economic development but also serve as mechanisms for asserting jurisdiction and reinforcing colonial control over Indigenous lands.The construction of new infrastructures often proceeds without Indigenous consent, enabling resource

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.260
Threshold uncertainty score0.873

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 studies0.0000.001
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 head0.005
GPT teacher head0.266
Teacher spread0.261 · 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 designObservational
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
Published2025
Admission routes3
Has abstractyes

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