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Record W2029447244 · doi:10.3197/096734007780473500

Subterranean Bodies: Mining the Large Lakes of North-west Canada, 1921-1960

2007· article· en· W2029447244 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.

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

VenueEnvironment and History · 2007
Typearticle
Languageen
FieldEnvironmental Science
TopicAmerican Environmental and Regional History
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsHistoriographyArchaeologyMining engineeringGeologyGeography

Abstract

fetched live from OpenAlex

Abstract This paper examines the history of hard rock mining on the large lakes of north-west Canada (Athabasca, Great Slave and Great Bear) from 1921 to 1960. It is based on the records of the three largest mining companies, Eldorado Mining and Refining, Cominco, and Giant Mines as well as government documents, oral histories and published geological and technical reports. The paper opens by assessing the historiography of mines in relation to nature and presents an overview of the regional geology and mine operations. The analysis considers the character of 'subterranean bodies' and how they reveal the physical engagement of miners with nature. It assesses how geology in conjunction with the creation of habitable mine environments animated these bodies. The final section moves into the surface mills where ores were metaphorically and physically digested as part of a larger metabolic process. The manuscript argues that the perception of subterranean bodies masked the negative consequences of mine operations by presenting minerals as renewable resources, by presenting the large lakes as physical rather than cultural landscapes, and by separating ores from their larger environmental contexts even as miners integrated industrial operations into the large lake ecosystems.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.406
Threshold uncertainty score0.998

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 studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.009
GPT teacher head0.160
Teacher spread0.151 · 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