Corrosion studies on Tang dynasty opaque glaze celadon excavated from Qiong kiln, Sichuan, China
Bibliographic record
Abstract
s As a typical representative of ancient southern Chinese folk kilns , the Qiong kiln, the firing process, and the corrosion behavior of its opaque glaze celadon are of great significance in revealing the deterioration mechanism of Indigenous ceramic materials. In this study, eight pieces of Tang dynasty opaque glaze celadon excavated from the Qiong kiln's Shifangtang kiln site were taken as the research object, and the glaze corrosion morphology and mechanism under the synergistic effect of glaze corrosion characteristics, physical composition and burial environment were systematically investigated by means of the super depth-of-field microscope, scanning electron microscope-energy spectroscopy (SEM-EDS), Raman spectroscopy , and optical coherence tomography (OCT) techniques. The results show that the corrosion behavior of the glaze layer is significantly affected by the composition of raw materials and the firing process: the incompletely fused quartz particles and precipitated augite crystals become the preferred corrosion sites due to the difference in chemical stability at the interface with the glass phase, which leads to the dislodgement of the crystals and the formation of honeycomb-shaped corrosion pits . The geometrical characteristics of the corrosion pits (increased specific surface area compared to the original glaze) accelerated the interfacial ion-exchange reactions while providing deposition channels for inorganic colloids from the environment to form hollow spherical silicate crusts. This study reveals the multi-scale synergistic corrosion mechanism of the crystal phase - bubble pits - iron deposition material in Qiong kiln opaque glaze celadon, which provides a scientific basis for the development of a targeted cultural relics protection strategy.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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 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".