Integrating Technical and Non-Technical Factors in Environmental Remediation Conclusions and Recommendations of the UMREG ’02 Meeting
Bibliographic record
Abstract
The Uranium Mine Remediation Exchange Group meetings of representatives from US, Canada, Australia and Germany have been going on since 1993. The novelty of UMREG 2002 was that the traditional group from was extended to representatives from CEEC, which have a history of uranium mining and milling and are presently involved or interested in environmental remediation (ER) of the legacy. The meeting was attended and/or presentations given by representatives from Czech Republic, Estonia, Hungary, Poland, Rumania, Russian Fed. and Slovenia. Furthermore, representatives from overseas countries, Brazil, Japan and Namibia having a present or historical uranium mining and the intent to remediate the consequences of the mining provided a contribution. The extended UMREG membership confirms the increasing interest in ER remediation and in following the “Good Environmental Remediation Practice” guidelines and provides a broader idea pool for the future UMREG meetings.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".