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Record W4411710777 · doi:10.1016/j.erss.2025.104193

Beyond violence: Building equity and safety in Canada's industrial energy resource work camps

2025· article· en· W4411710777 on OpenAlexaffabout
E. C. Barnes

Bibliographic record

VenueEnergy Research & Social Science · 2025
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsRoyal Roads University
Fundersnot available
KeywordsWork (physics)Equity (law)Resource (disambiguation)BusinessOccupational safety and healthArchitectural engineeringEngineeringPolitical scienceComputer scienceLaw

Abstract

fetched live from OpenAlex

This research study explores the relationship between industrial work camps and sexualized violence in Canada. Based on qualitative interviews with individuals working in these environments and subject matter experts, it aims to shed light on the challenges faced by women in industrial work camps and provide recommendations for effective mitigation measures. This study strives to contribute to systemic change in these environments by addressing gaps in safety and equity. The study also aims to inform policymakers, industry leaders, and workers on practical ways to enhance safety and well-being in these work camps.

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)0.003
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 score0.903
Threshold uncertainty score0.740

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.004
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.027
GPT teacher head0.303
Teacher spread0.276 · 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 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

Citations1
Published2025
Admission routes2
Has abstractyes

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