NEW CHEMICAL DATA ON THE CLINOPYROXENE-GARNET PAIR IN THE ALPE ARAMI ECLOGITE, CENTRAL ALPS, SWITZERLAND
Bibliographic record
Abstract
In the area of Gorduno, near Bellinzona, Central Alps, Switzerland, well-preserved eclogites crop out only at the margin of the garnet peridotite massif of Alpe Arami (AA). These bodies of eclogite were not derived from cognate mafic layers of mantle origin, and their thermal evolution is different from that inferred for the peridotite. Some questions are still open about the P–T evolution of AA eclogites, and the data given in literature cover a broad range of variation. We have investigated the bulk composition and the clinopyroxene–garnet trace-element distribution in a sample of eclogite from a lens occurring at the rim of the peridotite body. We report new data on trace elements in the bulk rock, obtained by ICP–MS, as well as the results of SIMS analyses on REE, Ti, V, Cr, Y, Sr, Zr, Sc carried out on the two major rock-forming minerals, i.e., clinopyroxene and garnet. We also provide AAS data for Co, Ni and Cu in purified clinopyroxene and garnet concentrates, and O isotope ratios both on the bulk rock and on clinopyroxene and garnet. We found that: i) the trace-element abundance in garnet and clinopyroxene may be strongly influenced by the major-element composition; ii) their distribution within both mineral phases is inhomogeneous. In particular, their highly variable contents highlight the complex evolution of the AA eclogite and emphasize the existence, at least for some elements and at a very local scale, of chemical disequilibrium, also confirmed, in an independent way, by a significant difference in 18O between clinopyroxene and garnet. Therefore, the low temperature of equilibration estimated in eclogite sample 70–AM–10 is not an artifact of the computational strategy adopted, but is the record of the lack of complete equilibration
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".