MétaCan
Menu
Back to cohort
Record W4384497145 · doi:10.29173/crossings159

Indigenous-Led Environmental Action: A Relational and Reciprocal Means for Environmental Protection and Indigenous Liberation

2023· article· en· W4384497145 on OpenAlexaff
Jana Elsalhy

Bibliographic record

VenueCrossings An Undergraduate Arts Journal · 2023
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsIndigenousOppressionHarmColonialismEnvironmental degradationPatriarchyEnvironmental ethicsSociologyRacismCriminologyEnvironmental changePolitical scienceGender studiesPolitical economyClimate changeLawEcologyPolitics

Abstract

fetched live from OpenAlex

Environmental harm and environmental violence affect everyone, however, climate change and environmental degradation disproportionately affect Indigenous communities. More specifically, Indigenous women face the worst neglect and harm from environmental damage. To adequately address these harms, it is necessary to support Indigenous-led climate activism and community-based organizations and to platform for those who are affected most deeply. Structural violence did not end at colonialism and this paper explores the ways in which environmental violence and degradation represent an ongoing form and result of colonial and capitalist practices. This paper also explores how damage to the land results in damage to the people who rely on it. Environmental violence represents a manifestation of intersecting modes of oppression like colonialism, capitalism, patriarchy, imperialism, racism, and sexism; intersectional social movements are therefore necessary to adequately work against these intersecting oppressions.

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)0.005
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.035
Scholarly communication0.0070.005
Open science0.0010.016
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0090.001

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 head0.027
GPT teacher head0.231
Teacher spread0.205 · 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 designNot applicable
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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueCrossings An Undergraduate Arts JournalSame topicMining and Resource ManagementFrench-language works237,207