Melting the myth: Prograde garnet dissolves during early crustal melting
Bibliographic record
Abstract
Abstract Garnet is widely thought to increase in stability and volume during prograde metamorphism and partial melting. Yet, whether early-formed subsolidus garnet persists or breaks down when melting begins remains an open question. Here, we integrate 3-D X-ray tomography with high-resolution major- and trace-element mapping of centrally sectioned garnets across a metapelitic metamorphic sequence to track their response from the subsolidus-suprasolidus transition to melting temperatures up to ~770 °C. Contrary to experimental and phase equilibrium predictions, garnet undergoes extensive dissolution at the onset of partial melting, losing >40% of its volume. Melt percolation creates internal cavity networks within garnet, connecting crystal interiors to the reactive matrix, markedly shortening intracrystalline diffusion pathways at the melt-crystal interface. This process leads to the consumption of garnet and results in major- and trace-element redistribution at temperatures too low for intracrystalline diffusion in larger grains. Our findings reconcile the long-standing discrepancy between predicted progressive garnet growth above the solidus and the scarcity of melt inclusions in garnet rims in migmatites and granulites. As partial melting begins, subsolidus garnet reacts and becomes a permeable heavy rare earth elements and yttrium (HREE-Y) reservoir in the residual crust.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".