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Record W2353928176

The Characteristics of the current situation of mineral resources

2012· article· en· W2353928176 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueChina Mining Magazine · 2012
Typearticle
Languageen
FieldEngineering
TopicMining and Gasification Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsNatural resource economicsMineral resource classificationQuarter (Canadian coin)Investment (military)Iron oreBusinessChinaAgricultural economicsEconomicsGeochemistryGeologyGeography
DOInot available

Abstract

fetched live from OpenAlex

As the world economic growth is slowing,the demand of major mineral commodities has been shrinking since the fourth quarter of 2011.At the same time,financing is more and more difficult,and the mining cost is rising,and the prices of iron ore,copper,aluminum,lead,zinc,nickel and other metal have declined,and mining stocks have fallen.As a result,the global mining has entered again into the down phase.However,the demestic situation of mineral resources runs smooth.The demand of mineral resources is tight in China and loose in the world,which will be relieving in short-term and tightening in long-term.First,the mining fixed asset investment growth has increased by quarter.Second,the supply capability of mineral products has been increasing constantly.Third,the imports of important minerals kept going up.Fourth,the prices of important mineral commodities have kept fluctuating at high level.At last,the markets of exploration and mining rights are active.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.872
Threshold uncertainty score0.169

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 communication0.0000.000
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 head0.014
GPT teacher head0.226
Teacher spread0.212 · 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