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Record W1782858305 · doi:10.24908/pceea.v0i0.4836

AVALON RARE METALS’ UNIVERSITY OUTREACH INITIATIVE

2013· article· en· W1782858305 on OpenAlexaffvenueabout
Ian M. London, Mandeep Singh Rayat, William E. Mercer

Bibliographic record

VenueProceedings of the Canadian Engineering Education Association (CEEA) · 2013
Typearticle
Languageen
FieldEngineering
TopicExtraction and Separation Processes
Canadian institutionsAvalon Rare Metals (Canada)
Fundersnot available
KeywordsOutreachRare earthSustainabilityEconomic shortageEngineeringPolitical scienceEngineering managementLibrary scienceEngineering ethicsEarth scienceComputer scienceGeology

Abstract

fetched live from OpenAlex

Avalon Rare Metals Inc., a mineral exploration and development company with a primary focus on developing rare earth element and rare metal projects, launched its University Outreach Initiative in 2011. A scarcity of engineers in North America familiar with rare earth process engineering and a lack of rare earth element course material at Canadian universities were key motivating factors for the launch of the Outreach Initiative. Through this Initiative, the Company has been proactive in educating students about science and engineering issues related to rare earth elements, by means of lectures, sponsored course projects, and sponsored participation at conferences and symposia. All projects had a sustainability dimension. This paper details seven undergraduate engineering projects and three graduate research projects initiated by Avalon at a total of seven different universities. The paper also provides recommendations to university engineering and science programs to ensure graduating students can build and play contributing roles in the emerging rare earth supply chain sector.

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)0.000
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.294
Threshold uncertainty score0.591

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.007
GPT teacher head0.176
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 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

Citations0
Published2013
Admission routes3
Has abstractyes

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