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Record W7010926601

Integrating socio-economic objectives for mine closure and
\nremediation into impact assessment in Canada

2020· report· en· W7010926601 on OpenAlexfundaboutno aff

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2020
Typereport
Languageen
Field
Topic
Canadian institutionsnot available
FundersIndigenous and Northern Affairs CanadaMinistère de l'Énergie et des Ressources NaturellesAustralian Centre for GeomechanicsUniversity of AberdeenUniversity of Minnesota
KeywordsClosure (psychology)Social impact assessmentEnvironmental impact assessmentContext (archaeology)Land reclamationAuditImpact assessmentIndigenousWork (physics)
DOInot available

Abstract

fetched live from OpenAlex

Background: the issue \nThe cyclical and volatile nature of resource economies means that particular extraction sites may be subject to sudden closure and abandonment, often leaving behind considerable social and environmental problems. There are an estimated 10,000 or more abandoned mines across Canada, ranging from small workings to large, complex post-industrial sites. Two federal Auditor General’s reports (2002 and 2012) highlighted abandoned mines as being among Canada’s most toxic sites, representing major public liabilities in the billions of dollars. In \naddition to these legacy sites, the many current and planned mineral developments across Canada’s northern mining belt are forecast to close in the coming two decades. Mine closure regulation and assessment practices vary widely across Canada, particularly surrounding socio-economic impacts. Typically, closure and remediation receive scant attention during the impact assessment phase of major mineral development projects, with the focus instead placed on mitigating the initial ecological and social impacts of development and \noperations. Public assessments and reviews of closure and remediation plans for active mines (where they occur) rarely include Indigenous knowledge, values or land uses as part of setting remediation goals and standards. In the context of both historical, ongoing, and anticipated mineral development activities in Canada, a better understanding of the state of knowledge surrounding the role and practice of impact assessment for mine closure and remediation is required. This emphasis on mine \nclosure and reclamation (rather than mineral development proposals more generally) reflects the particular knowledge and policy challenges associated with this final (and frequently longest) phase of the mining cycle, including: addressing long-term environmental and social impacts; financial securities for post-closure liabilities; post-remediation monitoring and relinquishment of closed sites; and the often complicated regulatory arrangements surrounding operating versus \nabandoned mines. In addition, while the majority of impact assessments (IA) occur at the front end of large-scale mining projects and do not include detailed discussions or evaluations of closure and remediation, in recent years some high-profile mine remediation projects have themselves been subject to full IA reviews. \n \nObjectives \nThis Knowledge Synthesis Report investigates and illuminates the gaps in environmental and social impact assessment practices for mine closure and remediation. In particular, we assess: i) whether and how mine closure and remediation are incorporated into environment and impact assessment processes (in Canada); ii) public participation and oversight of mine closure and \nremediation (through environment and impact assessment processes); and iii) the various regulations, policies, and practices of mine closure and remediation, as reflected in actual closure plan documents. To understand the state of knowledge related to these issues, we undertook a systematic literature review (Section 3) using major scientific databases to identify and assess \nstudies related to mine remediation, public participation, and impact assessment. Second, we \nundertook a review of mine closure plans (Section 4), with a focus on major mining developments in the Canadian North, to analyse how they have undergone regulatory review or environmental assessment, and consider how they incorporate community engagement, socioeconomic impacts, and Indigenous participation in remediation planning. Finally, we summarize and link the results of these analyses and discuss their implications for both environmental assessment and mine closure and remediation. \nMethodology and results: \nThe systematic literature review (Section 3) entailed a targeted search through over 20 databases encompassing environmental studies, policy studies, anthropology, sociology, dissertation and thesis catalogues, and other grey literature. In addition, a database of ‘known’ or \nfamiliar literature was compiled by the researchers and reviewed using the same screening protocol as our systematic search. Search strings focused on a range of terms related to public engagement, mining, remediation, and environmental assessment. The search and screening \nprocess yielded a total of 14 sources for detailed synthesis and analysis. The lack of common research design among the studies reviewed suggests the topic and field of study is fragmented. Analysis of both the systematic review and ‘known’ literature demonstrates that much of the potentially relevant research does not directly address impact assessment, closure, and community engagement, but rather focuses on one of those three topics, with passing or contextual mentions of the others. The closure plan review (Section 4) entailed a qualitative comparison of closure plans from mines operating in Yukon (1), the Northwest Territories (3), Nunavut (3), Nunavik (2), and Labrador (1) (see Table 4). Instead of examining closure plans from all provinces and territories, these five regions were chosen due to the inconsistent availability of closure plans across Canada. \nIn addition to evaluating the accessibility of these plans for public scrutiny, these closure plans were systematically assessed based on the evidence of public engagement; inclusion and use of community knowledge; acknowledgement of socio-economic impacts of closure; and plans to mitigate impacts. These practices vary widely between closure plans and jurisdictions, but in general public, consultation and engagement of community knowledge and social impacts in closure planning are vague and inconsistent. There does not appear to be a clear relationship between impact assessment processes and closure plans, and there are significant gaps in the \npolicies governing both. \n \nKey messages \n● mine closure and remediation is often the longest and most complex phase of the mining cycle, yet receives the least attention during project assessment and approval \n● the long-term, even perpetual nature of post-mining impacts is a major sustainability challenge and contributes to cumulative impacts in extractive regions \n● the mitigation of social impacts of mine closure and remediation is poorly addressed in closure and remediation policy \n● community engagement and public scrutiny of closure plans, including during the project assessment phase, is crucial to equitable and effective closure and remediation practice \n● particular attention is required to the legacies of mining and mine remediation for Indigenous communities in the context of settler colonial relations and more recent \npractices related to negotiated agreements \n● future research is required to integrate and enhance knowledge of these issues and to \nmake recommendations for impact assessment and closure policy and practice

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)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.182
Threshold uncertainty score0.949

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.007
Science and technology studies0.0040.002
Scholarly communication0.0060.001
Open science0.0020.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.034
GPT teacher head0.311
Teacher spread0.277 · 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 designObservational
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".

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Citations0
Published2020
Admission routes2
Has abstractyes

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