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Pipeline Resistance

2025· reference-entry· en· W4415412300 on OpenAlexaboutno aff
Mary Finley-Brook, Cameron Baller, Emily Satterwhite

Bibliographic record

Venuenot available
Typereference-entry
Languageen
FieldEngineering
TopicWater Systems and Optimization
Canadian institutionsnot available
Fundersnot available
KeywordsScholarshipEnvironmental justiceResistance (ecology)Opposition (politics)IndigenousPipeline (software)CapitalismSustainability

Abstract

fetched live from OpenAlex

Pipeline resistance is where an often abstract and wonky climate movement meets the bravery and boldness of Indigenous and other frontline defenders of land and water who inspire direct action for environmental justice and foster creative imaginaries well beyond business-as-usual capitalism and colonialism. Especially since 2009–2016, when opposition to the Keystone XL and Dakota Access pipelines became central to the global climate movement, scholarly literature has emerged around the theme of pipeline resistance. We chose the title “Pipeline Resistance” rather than “Pipeline Activism” because while many pipeline fighters are proud activists, many others, including many Indigenous people, decline the activist label as marginalizing, trivializing, reductive, or inadequate to describe their impetus for environmental defense. Scholarship around earlier pipeline conflicts and anti-extraction movements, especially in the Global South, is one progenitor of emergent pipeline resistance literature. Literature on pipeline resistance also draws from, and contributes to, scholarship on environmental justice, climate justice, energy democracy, and objections to the expansion of fossil fuel infrastructure more broadly (whether anticolonial, anticapitalist, or otherwise). In both the historical and the more recent anti-extraction movements, Indigenous-led resistance and concomitant anti-colonialism have played a major role. In this article, we summarize existing literature in English on activism to halt or remediate oil and gas pipeline construction around the world. We begin with some core resources for those trying to enter this literature base, perhaps for the first time. Then, we focus on texts that provide global historical contexts for the precedents to pipeline resistance; resistance to the Dakota Access (DAPL) pipeline, a key pipeline fight that grounds the literature; Indigenous resurgence; and gendered activism. Next, we cover modes of resistance to pipelines as well as motivations for, and transformations from, fighting pipelines. The next section highlights the ways that pipeline activists have been surveilled, policed, criminalized, repressed, and intimidated by the state and fossil fuel corporations. We finish this bibliography by considering pipeline resistance specific to Canada and the United States as well as by offering resources for activists and allies. There are some important notes regarding this bibliography. First, Indigeneity, decolonization, and pipeline resistance are all deeply intertwined. While we have Indigeneity and decolonization separated out as a key theme of pipeline resistance, this theme is deeply embedded throughout the literature and is thus represented throughout this bibliography. While we have not separated out climate justice or environmental justice as key themes with their own sections, they similarly are threaded throughout. Second, pipelines always start and end somewhere. Anti-pipeline movements are thus not separate from anti-extraction movements or resistance to oil and gas refining and export facilities, but we nonetheless tried to keep our focus narrow. Third, our bibliography is limited by our focus on English-language sources and our prioritization of peer-reviewed sources, though we have endeavored to incorporate studies from around the globe and to include other types of resources (such as children’s books, podcasts, and reports from civil society organizations) to demonstrate the breadth of activity and analysis around pipeline resistance.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Other
About the Canadian research system: no · About a Canadian topic: no
Not applicablelow
gptno category
Domain: not available · Genre: Other
About the Canadian research system: no · About a Canadian topic: no
Not applicablelow
models agreeAgreement compares identical category sets and study designs across arms.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.047
Threshold uncertainty score0.543

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 head0.010
GPT teacher head0.201
Teacher spread0.192 · 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

Labeled directly by 2 models reading the full record.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations0
Published2025
Admission routes1
Has abstractyes

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