THE MINERAL INDUSTRY OF SWEDEN—2001 22.1 THE MINERAL INDUSTRY OF
Bibliographic record
Abstract
Sweden is an industrialized country endowed with such natural resources as extensive forests, rich iron ore deposits, and abundant hydroelectric power. Its economy slackened during the first half of 2001 with an overall growth in gross domestic product (GDP) of 1.4%. Swedish industry, which included metal products manufacturing, contributed 27.9 % of GDP. The per capita income for the country was $26,200. The inflation rate was low and steady at 2.6 % (U.S. Department of State, 2002§1). The Government budget improved to a surplus of 8% of GDP in 2001. Besides iron ore, other significant mineral resources were base metals (copper, lead, and zinc) and industrial minerals (dolomite, feldspar, granite, kaolin, limestone, and quartz). Poplar Resources Ltd. of Canada investigated the Bottenbacken polymetallic-palladium property. Geophysical surveys were completed, and drilling was expected to begin in August. Dragon Mining NL of Australia completed a bankable feasibility study of its 60 % owned Svartliden gold deposit, which is 70 kilometers from Lycksele in the Skelleftea district. Lappland Goldminers AB was investigating gold mineralization at the Faboliden and the Stortjarnshobben prospects in the vicinity of Lycksele (Mining Journal, 2001c). Outokumpu Steel Oyj and Avesta Sheffield AB merged to form AvestaPolarit Oyj Abp. The company planned to close its Degerfors melting shop and billet-rolling operation by 2003. The plant’s production capacity for blooms and billets was 200,000 metric tons per year (t/yr). About 330 out of Degerfors’ 700 employees would be laid off in the closure. Degerfors would continue rolling and finishing of stainless quarto plate (Metal Bulletin, 2001j). In the third quarter of 2001, output at the Degerfors meltshop was reduced. Production at the Steckel mill at Avesta also was trimmed because of operating problems. Billiton Development Far East BV and Billiton Arctic Resources BV entered into an alliance with Lake Resources NL of Australia to explore for iron-oxide-hosted copper/gold and hybrid zinc/lead/silver base-metal deposits in granted tenements in the Norbotten district of northern Sweden. The majority of the planned $500,000 would be used to explore the Klingersel and Tjamotis tenements. On completion of initial scout drilling
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.012 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".