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Record W4394578110 · doi:10.11647/obp.0373.10

The Face of Mining

2024· book-chapter· en· W4394578110 on OpenAlex
Carol Liao

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueOpen Book Publishers · 2024
Typebook-chapter
Languageen
FieldEngineering
TopicMining Techniques and Economics
Canadian institutionsUniversity of British ColumbiaEnvironment and Climate Change Canada
Fundersnot available
KeywordsFace (sociological concept)Computer scienceMining engineeringGeologySociologySocial science

Abstract

fetched live from OpenAlex

The mining industry, once dominated by the West, is witnessing China’s rising dominance and the reshaping of global mineral supply chains. This essay delves into the complex interplay between Canada and China, from diplomatic disputes to rules governing foreign investment in critical minerals. It explores the geopolitical implications of China’s investments, particularly in Africa and Latin America, which are forcing the industry to grapple with new questions of racism, colonial legacies and power disparities. In the broader context of climate change, social justice and international cooperation, diverse representation is needed to address the interconnected issues facing the future of mining in a sustainable world.

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 categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.097
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.022
GPT teacher head0.222
Teacher spread0.201 · 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