Bibliographic record
Abstract
Abstract Upwelling regions of the mantle can undergo partial melting as a result of decompression. Many models for the dynamics of these regions have largely ignored the actual melting process or have prescribed a uniform melting rate proportional to the upwelling velocity. This paper uses a simple model for an upwelling column to calculate the melting rate from conservation principles. The model rock comprises two chemical components, and is assumed to be in thermodynamic equilibrium. For idealized linear phase constraints the melting rate can be calculated analytically, and is found to be proportional to the average upwelling velocity of both the matrix and melt. A secondary aim is to discuss reactive instabilities; the model predicts that the one dimensional state will be linearly stable, whereas previous models have suggested that reactive infiltration instability should occur. This is argued to be a result of the ‘background’ melting rate which has not usually been fully accounted for, but which has a stabilizing effect. The model here can also be applied to a column in which some melt is already present, and in that case it does exhibit a channeling instability. It is concluded that accounting for melt production consistently in mid-ocean ridge models is important when assessing the likely modes of melt transport.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".