A Preliminary Assessment of Climate Change Impacts – Implications for Mining Activity in Polish Coal Regions
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.
Bibliographic record
Abstract
It is widely known and accepted that the global climate is changing with unprecedented speed. Climate models project increasing temperatures and changes in precipitation regimes which will alter the frequency, magnitude, and geographic distribution of climate-related hazards including flood, drought and heat waves. In the mining industry, climate change impacts are an area of research around the world, mostly in relation to the mining industry in Australia and Canada, where mining policies and mitigation actions based on the results of this research were adopted and applied. In Poland, there is still a lack of research on how climate change, and especially extreme weather events, impacts mining activity. This impact may be of particular importance in Poland, where the mining industry is in the process of intensive transition. The paper presents an overview of hazardous events in mining in Poland that were related to extreme weather phenomena. The needs and recommended actions in the scope of mitigating the impact of future climate change on mining in all stages of its functioning were also indicated. The presented analyses and conclusions are the results of the first activities in the TEXMIN project: The impact of extreme weather events on mining activities, identifying the most important factors resulting from climate change impact on mining.
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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 | 0.001 | 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 | 0.001 | 0.002 |
| 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 it