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Record W2606978585

Steel and Steel Making Raw Materials: Outlook to 2010 Driven by China, India and Brazil

2005· article· en· W2606978585 on OpenAlexaboutno aff
Simon Richmond, Andrew Maurer

Bibliographic record

VenueAustralian Commodities: Forecasts and Issues · 2005
Typearticle
Languageen
FieldEngineering
TopicMetallurgical Processes and Thermodynamics
Canadian institutionsnot available
Fundersnot available
KeywordsChinaCoalIron oreRaw materialConsumption (sociology)MetallurgyNatural resource economicsEconomicsEngineeringGeographyWaste managementMaterials science
DOInot available

Abstract

fetched live from OpenAlex

Over the outlook period to 2010, growth in global steel production will be underpinned by strong growth in steel demand in China, India and Brazil. Further, as blast furnaces are expected to account for most of the growth in steel production, the outlook for iron ore and metallurgical coal remains positive. Asian countries (excluding Japan) are expected to account for the majority of the increases in iron ore and metallurgical coal consumption and imports over the outlook period. Developments in China will have a significant impact on global markets for steel making raw material. Despite having significant reserves of both iron ore and metallurgical coal, the strength of demand growth from China's rapidly expanding steel sector has supported significant imports of steel making raw materials. Australia's relative proximity to Asian markets compared with Brazil, Canada and the United States and higher expected growth in export capacity compared with Russia and South Africa are expected to allow Australia to capture an increasing share of world seaborne trade in iron ore and metallurgical coal.

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 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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.413
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 communication0.0000.000
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 head0.013
GPT teacher head0.252
Teacher spread0.239 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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
Published2005
Admission routes1
Has abstractyes

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