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Record W4323310257 · doi:10.4324/9781003182375-6

Gender, indigeneity and mining

2023· book-chapter· en· W4323310257 on OpenAlexaboutno aff
Chelsea G. Major, Sheri Longboat, Silvia Sarapura-Escobar

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousContext (archaeology)Political sciencePremiseResource (disambiguation)Relevance (law)GeographyLawEcology

Abstract

fetched live from OpenAlex

The mining industry has been found to provide economic opportunities for local Indigenous communities, but these benefits are not always distributed equally. For instance, there is evidence of gendered socio-economic impacts of mining within traditional lands or treaty territories of Indigenous communities that have resulted in instances of violence against women. In Canada, the 2019 National Inquiry report on Missing and Murdered Indigenous Women and Girls (MMIWG) revealed the linkages between mining and extractive activities with spikes in violence against Indigenous women, girls, and gender-diverse people. The report includes five recommendations that are related to extractive and development activities to address the rights and safety of Indigenous women in mining territories. In this chapter, authors build upon the premise that mining companies have a responsibility to uphold Indigenous women’s needs and wants through meaningful engagement that is consistent with the 2019 National Inquiry report. They emphasize that there are well-documented advantages to involving Indigenous women as significant rights-holders in projects. This chapter first examines the literature regarding Indigenous women’s experiences with extractive mining projects in resource-based communities in Canada. The authors identify the context of gender and mining, including violence against Indigenous women. Second, they determine the extent and significance of Indigenous women’s involvement in the mining sector. Third, this chapter explores opportunities and strategies that affect the wants and needs of Indigenous women that aim to counter racism, sexism, and misogynistic patterns observed within the mining sector. Last, highlighted is the relevance of these findings for a range of actors involved in policy, practices, planning, and corporate behaviours. Overall, this chapter finds that Indigenous women are essential actors at the nexus of mining companies and local communities. The authors believe that acknowledging this role can improve Indigenous women’s realities and agency while contributing to the equitable development of mining economies in Indigenous communities.

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)0.002
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.049
Threshold uncertainty score0.097

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.014
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.037
GPT teacher head0.207
Teacher spread0.170 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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