MétaCan
Menu
Back to cohort
Record W2382596292

Enlightenment to China from foreign protection strategy for superior mineral resources

2011· article· en· W2382596292 on OpenAlexaboutno aff
Lan Ping-he

Bibliographic record

VenueChina Mining Magazine · 2011
Typearticle
Languageen
FieldEngineering
TopicGeomechanics and Mining Engineering
Canadian institutionsnot available
Fundersnot available
KeywordsPublicityGovernment (linguistics)BusinessLegislationWork (physics)ChinaNatural resource economicsPublic administrationLawEconomicsPolitical scienceMarketingEngineering
DOInot available

Abstract

fetched live from OpenAlex

Government paid much more attention to the protection and rational use of superior mineral resources.The protection strategies of the United States,Canada and Russia are typical representatives of the foreign protection strategy for superior mineral resources.The inspirations we got from the foreign protection strategies including:(1) to perfect laws and regulations on the protection of superior mineral resources;(2) to strengthen the legislation on the development and utilization of resources for small-scale mining;(3) to strengthen the supervision on the work about the protection and utilization of superior mineral resources;(4) to strengthen the role of government and public opinion publicity,while encouraging active participation of the public;(5) to push resources and environmental protection at the same time;(6) to rely on scientific and technological progress to impel the protection and rational utilization of superior mineral resources.

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)0.002
metaresearch head score (Gemma)0.002
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: Other · Consensus signal: none
Teacher disagreement score0.024
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.002
Scholarly communication0.0040.002
Open science0.0000.002
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0090.002

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 head0.025
GPT teacher head0.198
Teacher spread0.174 · 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

Citations0
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueChina Mining MagazineSame topicGeomechanics and Mining EngineeringFrench-language works237,207