Comparative Study on Mineral Components,Microstructures and Appearance Characteristics of Nephrite from Different Origins
Bibliographic record
Abstract
Nephrite is mainly sold on the market in China(Xinjiang,Qinghai Province and Liaoning Province),Russia,Canada,South Korea and other places at present.The main kinds of jade are white jade,grayish jade,gray jade and green jade.Jade from different origins show the similar characteristics in mineralogy and petrology.However,it shows subtle differences in nephrite appearance from different origins due to the differences in mineral assemblages and tremolite crystallinity,particle size and arrangement. This study is aiming to find the common and different characteristics of nephrite from various orgins and to provide a more detailed theoretical guidance for identification.Using polarizing microscope,X-ray powder diffraction,scanning electron microscopy(SEM)and ICP-MS,the chemical compositions,mineral assemblage,microstructures and appearance characteristics of the main varieties of nephrite are studied.The results show that the chemical compositions and main minerals of nephrite from different origins are similar.However,there are differences in trace elements and secondary minerals,which could be a certain significance for identification.In general,white jade and grayish jade from Xinjiang,high quality white jade from Qinghai Province and Russia are flet-like cryptocrystalline blastic texture with high content of tremolite,where fiber structure is small and closely intertwined.Therefore,the jade is fine,glossy in appearance.While gray jade from Xinjiang,part of white jade,grayish jade from Qinghai Province,white jade from Xiuyan and South Korea are micro-fibrous interlocking texture,microfibre flaky blastic texture,microfibre granular crystalloblastic texture and porphyroblastic texture.Content of tremolite in jade from those areas is relatively low,and fibers are coarse with large gap,which lead to rough texture and poor gloss in appearance and toughness decreasing.The structural types and crystallinity of jasper from Xinjiang,Russia and Canada are similar and it shows little difference in appearance characteristics.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 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) | 0.001 | 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 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".