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Record W2285700119 · doi:10.14288/1.0042624

Teck's Coal business unit applied research and development program - a watershed approach

2012· article· en· W2285700119 on OpenAlexaboutno aff
John F. Pumphrey, Clara Qualizza

Bibliographic record

VenuecIRcle (University of British Columbia) · 2012
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSugarcane Cultivation and Processing
Canadian institutionsnot available
Fundersnot available
KeywordsUnit (ring theory)WatershedEnvironmental planningBusinessGeographyComputer scienceMathematics educationMathematics

Abstract

fetched live from OpenAlex

Teck’s Coal business unit is embarking on a comprehensive, applied research and development (R&D) initiative that will provide information to support management decisions with respect to mine design changes that will support the objective of maintaining watershed function in perpetuity, at all of Teck’s coal mining operations. The program will involve laboratory, pilot, prototype and commercial scale studies to ensure that results of technology testing are demonstrated and that indicators of watershed function (hydrologic and biogeochemical, in the short term), are established and verified at the dump, mine, and watershed scales. Projects within the program will be undertaken at all of Teck’s operations in the Elk Valley of southeast B.C., and at our Cardinal River Operations in Alberta. The projects are being undertaken in partnership with a team of industry and University-based research scientists and engineers. The program is a multi-year initiative designed to actively support mine planning and closure planning decisions on an ongoing basis through a developed technology transfer process. The overall applied R&D program is being developed using the US Environmental Protection Agency (EPA) Data Quality Objectives (DQO) process as a guide. The DQO process is used to develop performance and acceptance criteria (or data quality objectives) that clarify study objectives, define the appropriate type of data, and specify tolerable levels of potential decision errors that will be used as the basis for establishing the quality and quantity of data needed to support decisions (EPA QA/G-4 2006). Teck is employing the DQO process at various levels to assemble the research program and to clearly link the research to management decisions and mine planning activities. The applied R&D program is a multi-disciplinary program with a selenium (Se) and watershed focus. It integrates applied research in the areas of biogeochemistry, water balance (hydrology, hydrogeology), landform design and reclamation. Core questions within the program will integrate results to address the broader management decisions which will allow for maintenance of healthy watershed function.

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)0.007
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.047
Threshold uncertainty score0.121

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0030.002
Scholarly communication0.0080.003
Open science0.0030.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0360.007

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 head0.070
GPT teacher head0.231
Teacher spread0.160 · 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 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

Citations0
Published2012
Admission routes1
Has abstractyes

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