APPLICATION OF HIGH FIELD STRENGTH ELEMENTS TO DISCRIMINATE TECTONIC SETTINGS IN VMS ENVIRONMENTS
Bibliographic record
Abstract
High field strength element ratios in felsic volcanic rocks reflect the tectonomagmatic evolution of a region. Th/Ta, Th/Hf, Ta/Hf, Th/Yb, and Ta/Yb ratios collectively help to define the tectonic environment of volcanism, separating oceanic arcs, active continental margins, and within-plate volcanic zones. On the basis of the above empirical observations, the tectonic environments of selected Archean and post-Archean volcanogenic massive sulfide deposits were reexamined. Published data sets plotted on discriminant diagrams represent twelve volcanogenic massive sulfide (VMS) deposits from two distinct tectonic environments. The volcanic rocks of the kuroko deposits (Japan), San Nicolas (Mexico), and Bathurst (New Brunswick, Canada) plot within the active continental margin field on all diagrams, whereas volcanic rocks from Archean deposits of the Superior province, Canada (Kidd Creek, Kamiskotia, Geco, Winston Lake, Mattabi, Lyon Lake, Noranda, Selbaie, and South Bay) plot in the within-plate volcanic zone field. The discriminant diagrams demonstrate that although the chemical character of rhyolites has not changed significantly since the Archean, the range of geotectonic setting of VMS deposits probably has. It is suggested that Archean deposits most likely formed in an ensimatic rift environment, whereas post-Archean deposits formed in subduction-related rift zones of arc environments. Subduction-related rhyolites of VMS deposits are variably enriched in Th and the light rare earth elements with respect to Ta, Nb, and the heavy rare earth elements.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.000 | 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".