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Record W4409802002 · doi:10.16995/ilr.18835

Narratives of sustainable work in mining-affected communities: Gleaning a decolonial concept

2025· article· en· W4409802002 on OpenAlex
Ania Zbyszewska, Flavia MAXIMO

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInternational Labour Review · 2025
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsCarleton University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsWork (physics)NarrativeSociologyEngineering ethicsKnowledge managementEnvironmental resource managementEnvironmental ethicsEnvironmental planningGeographyComputer scienceEngineeringEconomics

Abstract

fetched live from OpenAlex

Conceptions of sustainable work advanced by United Nations bodies, including the ILO, promote the pursuit of green and inclusive economies. Through a decolonial-inspired narrative analysis of textual and audiovisual sources relating to mining-affected communities in Brazil and Canada, we examine how these mainstream conceptions are taken up and challenged on the ground. We analyse these narratives against several features that a decolonial conception of sustainable work might contain. While decolonial conceptions centre on care for people and the land, ecological dependence, reverence for life and reproductive work, mainstream notions of sustainable work are often instrumentalized to legitimize practices that are irreconcilable with decolonial visions.

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.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.827
Threshold uncertainty score0.367

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 head0.007
GPT teacher head0.257
Teacher spread0.250 · 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