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Record W6923341697 · doi:10.14288/1.0447211

Planning for post-mine landscapes : Collaboration between mining companies, governments, and Indigenous communities

2024· article· en· W6923341697 on OpenAlexaboutno aff

Bibliographic record

VenuecIRcle (University of British Columbia) · 2024
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousLand reclamationContext (archaeology)Land useLand-use planningClosure (psychology)Work (physics)

Abstract

fetched live from OpenAlex

Regulations in many mining jurisdictions and international guidance on mine closure incorporate the concept of defining post-mining land uses as a component of closure planning and design. These include the Health, Safety and Reclamation Code for Mines in British Columbia, which requires that end land uses be defined as part of the mining process. Modern permit conditions in British Columbia for End Land Use Plans or “Returning Land Use Plans”, a term coined by Nlaka’pamux communities in 2015, include the requirement to develop post-mining land-use planning with Indigenous communities whose territories include the mine site, collaboratively defining a vision for reclamation. The goal of these plans is to ensure that the landscape, after mines are reclaimed, reflects the values, relationships to, and desired land use of community members, but is also realistic and achievable within engineering and ecological constraints. Indigenous communities drive the approach to collaboration that can vary by community and mine. This paper provides a summary of the regulatory context and history of End Land Use Plans in British Columbia and outlines lessons learned working with mine sites and communities to collaboratively develop these plans in British Columbia, Yukon, and Saskatchewan.

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)0.013
metaresearch head score (Gemma)0.010
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.582
Threshold uncertainty score0.832

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.010
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0300.014
Scholarly communication0.0090.006
Open science0.0030.016
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0060.001

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 head0.009
GPT teacher head0.179
Teacher spread0.169 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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