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Record W3034636389 · doi:10.1787/5bbcdeac-en

Integrating renewables in mining

2018· paratext· en· W3034636389 on OpenAlex

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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueOECD development policy papers · 2018
Typeparatext
Languageen
FieldEngineering
TopicMining Techniques and Economics
Canadian institutionsnot available
FundersNatural Resources CanadaAustralian Renewable Energy Agency
KeywordsRenewable energyEnvironmental scienceBusinessEngineeringElectrical engineering

Abstract

fetched live from OpenAlex

Mining activities are energy-intensive and rely largely on fossil fuels to meet their energy demands. This exposes the mining sector to potential policy and regulatory risks, stemming from government efforts to shift the global economy to a low-emission development pathway, as envisaged by the Paris Agreement. At the same time, renewables have become an increasingly cost-competitive source of power generation. This has resulted in a business case for the adoption of solar and wind energy solutions in the mining sector, to reduce costs as well as carbon footprint of operations. The sector's energy transition also presents an opportunity for resource-rich countries, including developing economies, to foster the synergistic development of higher valueadded domestic activities in the renewable energy sector. The shift of the mining industry to low-carbon energy has the potential to contribute to advancing the climate and sustainable development agenda, while also pursuing economic diversification objectives. However, the integration of new technologies into conventional power systems comes with risks and challenges. This paper aims to enhance the understanding of the key drivers for, and obstacles to, renewable energy integration in mining operations, based on a review of over 30 existing projects worldwide. The analysis identifies a need for an enabling policy environment, encompassing among others a competitive energy market structure and adequate energy infrastructure, to overcome current challenges and support the synergies between the development of the mining and renewable energy sectors.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.404
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.002

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 head0.015
GPT teacher head0.247
Teacher spread0.232 · 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