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Record W3204237649

Transnational Modernity/Coloniality: Settler Colonialism, Environmental Justice, and Punjabi Diasporic Positionalities for Critical Solidarity on Turtle Island

2019· article· en· W3204237649 on OpenAlexfundaboutno aff
Jaspreet Ranauta

Bibliographic record

VenueYorkSpace (York University) · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicWater Governance and Infrastructure
Canadian institutionsnot available
FundersYork University
KeywordsModernitySolidarityColonialismEnvironmental justiceSociologyEthnographyAnthropologyGender studiesEconomic JusticeEthnologyPolitical scienceLaw
DOInot available

Abstract

fetched live from OpenAlex

This paper offers a transnational framework on colonialism, indigeneity, and environmental justice by connecting the historical contexts of Punjab and Turtle Island. Specifically, I analyze the origins of Punjabi out-migration to British Columbia on Coast Salish territory in the early 1900s, Indigenous and settler relations, and the positionality of Punjabis during this time negotiated through the legacies of the Komagata Maru and the anti-colonial Ghadar Party’s formation as a way to reimagine critical environmental justice solidarities for the contemporary Canadian context. This project interrogates the ways in which interlocked histories of oppression and dynamics of power between the Punjabi diaspora and Indigenous communities emerged through British imperial policies of modernity/coloniality in the Punjab region, specifically with the development of the Canal Colonies, as well as the Punjabi relationship to settler colonialism on Turtle Island. I discuss the significance of these relationships to environmental justice thought and action and engage Indigenous and decolonial scholarship for a critical discussion on the normalization of westerncentric knowledge through empire while retracing Ghadar histories of anti-colonial resistance on Turtle Island.

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: Empirical
Teacher disagreement score0.926
Threshold uncertainty score0.607

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 studies0.0010.000
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 head0.012
GPT teacher head0.241
Teacher spread0.228 · 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

Citations0
Published2019
Admission routes2
Has abstractyes

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