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Record W4394577924 · doi:10.11647/obp.0373.07

Mining in Icy Worlds

2024· book-chapter· en· W4394577924 on OpenAlexaff
Anita Dey Nuttall, Mark Nuttall

Bibliographic record

VenueOpen Book Publishers · 2024
Typebook-chapter
Languageen
FieldEarth and Planetary Sciences
TopicMarine and environmental studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsAstrobiologyGeographyBiology

Abstract

fetched live from OpenAlex

As the global economy transitions from fossil fuels to renewable energy, the search for ‘critical minerals’ is expanding into the remotest and most extreme environments on Earth, including the icy polar regions at the ends of the earth. This essay discusses how Greenland and Antarctica are at the forefront of geopolitical discussions about resource utilization, environmental conservation and sustainability in an era of rapid climate change. Greenland, a self-governing territory of the Kingdom of Denmark, sees mining as necessary for economic development, while Antarctica is governed by an international treaty system that currently prohibits mining. A changing climate and shifting geopolitical pressures could force an amendment to the Antarctic Treaty in the not-so-distant future. The essay considers how these two polar regions could shape the future economics and geopolitics of global mineral resources as we move towards a carbon-neutral future.

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)0.000
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.032
Threshold uncertainty score0.107

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0050.005
Scholarly communication0.0100.005
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0320.005

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 head0.023
GPT teacher head0.211
Teacher spread0.189 · 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
GenreOther

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

Citations1
Published2024
Admission routes1
Has abstractyes

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