LONG TERM LAND USE PLANNING FOR DRASTICALLY DISTURBED LAND
Bibliographic record
Abstract
The success of planning for use of surface mined land after the cessation of coal mining in Kentucky has been mixed and varied. While a great deal of “developable” or relatively flat land has been created, little has actually been used for the purposes intended. In the early 1980s planning was begun for the 17,000 acre Star Fire mountain top removal mining site with the intention of utilizing it for an assortment of land uses from industrial, to residential, to wildlife refuge. By the early 1990s the wildlife portion of the master plan was achieved with the introduction of Canada geese and later an elk population. In the mid 1990s Cyprus Minerals sold Star Fire to Addington Resources, and planning and development appeared to have been abandoned. By 1998, with proposals to develop a 500megawatt power plant designed to burn waste coal, the planning process was revived. Plans are now in progress to provide utilities and an entryway into the site through state and private cooperation. The prospects for the long-term development of a large-scale project are positive. The major issue here is that long term planning should be viewed as just that, long term. Not a lot will be achieved unless all of the considerable number of pieces are brought together at the correct moment. However, if the initial planning to construct land forms for future use had not been undertaken development would not have been possible. Additional
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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".