Multiple sulphur isotope reconnaissance of Slave Province volcanogenic massive sulphide deposits
Bibliographic record
Abstract
Multi-sulphur isotope (32S, 33S, 34S, and 36S) analysis of galena, sphalerite, and pyrite from 30 Archean volcanogenic massive sulphide deposits and occurrences from across the Slave Province reveals a variable contribution from Archean atmosphere-derived sulphur. Mass-independent fractionation of the sulphur isotopes produced anomalous abundances (D33S) of the sulphur isotopes that were incorporated to varying degrees in deposits that formed in different tectonic settings. Our data indicate that deposits of the bimodal-mafic type (bimodal rift setting) are characterized by a restricted range of D33S from -0.3 to 0.1 per mil, whereas deposits of the bimodal-felsic type (arc-like settings) exhibit a broader range in D33S, from -0.8 to 0.6 per mil. Mantle-derived (juvenile) sulphur is essentially the sole source of sulphur in deposits of the bimodalmafic type, whether derived directly by magmatic degassing, or indirectly by leaching of magmatic sulphides in the associated hydrothermal system; these deposits are also characterized by relatively low silver contents. Bimodal-felsic type deposits, typified by high silver contents, contain variable amounts of atmosphere- derived sulphur that was more readily available in arc-like settings.
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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 | 0.000 | 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) | 0.001 | 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".