De historische mijnbouw in Zuid-Noorwegen en haar Nederlandse connecties. Dl.1
Bibliographic record
Abstract
De zilvermijnen van Kongsberg, de kobaltmijnen van Modum, de koperwerken van Røros en - nog steeds van groot economisch belang - de titaniummijn van de Jossingford in Vest-Agder zijn alom bekende voorbeelden van de rijke Noorse mijnbouwtraditie. Mineralen uit deze voorkomens zijn aanwezig in de collecties van alle grote Europese en Noord- Amerikaanse mineralogische musea. Minder bekend is de mijnbouw in de kuststrook van de provincies Aust-Agdet en Telemark, tussen Kristiansand en de Osloslenk. ln deze bijdrage wordt hiervan een historisch en mineralogisch overzicht gegeven. De belangrijkste historische ertsen en grondstoffen waren ijzer, fosfaat (apatiet), rutiel, veldspaat (voor porceleinproductie) en in mindere mate nog een reeks andere metalen (lood-zinkzilver koper, nikkel en naar men claimt zelfs goud). In het eerste deel van dit artikel behandelen we de ijzermijnbouw.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.085 | 0.007 |
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".