MétaCan
Menu
Back to cohort
Record W3084578451

More than a pipeline: understanding and responding to the environmental injustices surrounding the Coastal GasLink pipeline conflict

2020· article· en· W3084578451 on OpenAlexaboutno aff
van Meijeren Karp, Avital Meira

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicEnvironmental Justice and Health Disparities
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousEnvironmental justicePolitical scienceIndigenous rightsPoliticsPolitical economyGeographySociologyLawEcology
DOInot available

Abstract

fetched live from OpenAlex

The winter of 2020 was dominated by Canadian and international news coverage about a group of indigenous land defenders in Northern British Columbia, Canada. At the centre of the media frenzy was a pipeline conflict involving an indigenous community, namely, the Wet’suwet’en Nation, and Canada’s largest private sector investment ever which is set to cross directly through Wet’suwet’en territory. This research set out to understand the conflict from an indigenous perspective and to identify potential environmental injustices as defined by Schlosberg’s (2004) environmental justice framework. Using a mixed methods approach, including an emphasis on indigenous research methods, this research plotted out the main drivers, pressures, state, impacts, and potential responses to the conflict. Neocolonial and neoliberal behaviour was found to be driving the conflict through mechanisms like Canada’s cultural assimilation agenda, lacking aboriginal rights, and prioritization of profit and economic growth. Moreover, a rise in social and climate activism was found to be adding a ‘positive pressure’ to the situation, while climate change, economic pressures on reserves, Canada’s current political landscape, Canadian law, and historical relations between settler Canadians and First Nations (partially fueled by a lack of indigenous presence in Canada’s education system) were found to exacerbate the current conflict. The observed impacts of this conflict have been significant; the indigenous community in Canada has reported increases in racism and calls for violence against indigenous people online. Contrastingly, there has also been an increase in unity between different indigenous groups within Canada as well as an increased public awareness of indigenous injustices. This research identified multiple environmental injustices related to this case. The main injustices at the core of the conflict are a lack of recognition of Wet’suwet’en Nation’s hereditary governance system and the subsequent procedural injustice which occurred when the Wet’suwet’en hereditary chiefs were bypassed and ignored during the process of Free, Prior and Informed Consent. Additionally, the distribution of environmental risks was found to be entirely skewed towards the people of Wet’suwet’en Nation which rely on their land for food, water, traditional indigenous culture etc. Further injustices included disproportionate police presence and use of force against (indigenous) land defenders. Changes to Canada’s educational system and a formal adoption of UNDRIP on federal level were identified as necessary responses to help reconcile these environmental injustices, however participatory research and action to address structural injustices in Canada will be needed to ensure the justice and equity that the indigenous community deserves. (Less)

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 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)0.006
metaresearch head score (Gemma)0.007
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 score0.539
Threshold uncertainty score0.928

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0330.021
Scholarly communication0.0160.009
Open science0.0030.010
Research integrity0.0040.008
Insufficient payload (model declined to judge)0.0030.000

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 head0.076
GPT teacher head0.327
Teacher spread0.251 · 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

Citations1
Published2020
Admission routes1
Has abstractyes

Explore more

Same topicEnvironmental Justice and Health DisparitiesFrench-language works237,207