Archean high-Mg magmas: Their significance for continental growth at Archean cratonic margins
Bibliographic record
Abstract
The growth of Archean cratons has been linked to either stagnant or mobile lid processes in models that ultimately depend on the accurate interpretation of high-Mg volcanism. Recognition of the diversity of such greenstone belt magmas highlights a need for accurate classification of the sub-types, which is potentially offered by the boninite discrimination scheme of Pearce and Reagan (2019). The utility of the scheme is assessed at two localities in the western Superior Craton where komatiites have been reported but not extensively studied: the Lake of the Woods greenstone belt of the Western Wabigoon terrane and the Shebandowan greenstone belt of the western Wawa-Abitibi terrane. It is then applied to the southern Abitibi belt where evidence for both mantle plume and subduction-style magmatism presents complex geodynamic challenges. In combination with previously recognized boninites or boninitic rocks in the Kidd-Munro Assemblage and Opatica Terrane, the new results support models of short-lived subduction events in the Archean and underlines their role in craton growth prior to the development of a global network of tectonic plates.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".