Preparation of Oriented Block Samples of Lignite for Petrographic Analysis
Bibliographic record
Abstract
Abstract The manufacture of particulate samples for coal petrographic analysis destroys the original petrographic fabric of the coal, so that fine-scale (millimeter to centimeter) variations in petrographic composition through the seam cannot be identified. The use of oriented block samples prepared from pillar samples allows the physical integrity of the coal seam to be preserved and thus studied. While the preparation of polished block samples does not generally present any problems for coals of sub-bituminous rank or higher, the high moisture content of lignites means that the polished surface is prone to desiccation. This leads to the formation of shrinkage cracks, which cause distortion of the surface and render microscopic analysis under high-power magnification (×500) virtually impossible. In order to overcome this problem, samples of lignite were dehydrated in acetone and then impregnated with a low-viscosity epoxy resin. A thin film of immersion oil during analysis further inhibits the affects of any desiccation on the polished surface. Long-term storage under nitrogen has been effective in preserving the high quality of the polished surface for more than four years.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".