CONSONORM_HG: a new method of norm calculation for mid‐ to high‐grade metamorphic rocks
Bibliographic record
Abstract
Abstract The CONSONORM_HG norm provides a standardized solution to approximate metamorphic assemblages for mid‐ to high‐grade metamorphic rocks. Other applications for this norm include: (i) the standardized classification of metamorphic rocks; (ii) the interpretation of hydrothermal alteration using indices calculated from normative minerals; (iii) the estimation of the carbonate content of rocks, even when CO2 has not been analysed. CONSONORM_HG is designed for rocks dominated by silicates, Fe–Ti oxides or carbonates, and it approximates the main mineral assemblages of amphibolite, granulite, greenschist and blueschist facies metamorphic rocks. The norm calculates silicate assemblages using one of the three Al–Ca–NaK–FeMg tetrahedra, a convenient way of representing a large number of silicate assemblages, for each of the 17 P–T conditions modelled and based on the Fe–Mg–Mn composition of the sample. In addition to silicate minerals, CONSONORM_HG calculates Fe–Ti oxides and other accessory minerals from minor elements, sulphides from analysed sulphur and/or from analysed metals and also carbonates from analysed CO2 or from normative CO2 estimated from the loss on ignition. CONSONORM_HG also integrates many reactions to address silicon deficits, as well as quartz–carbonate reactions to approximate natural assemblages better. The normative calculation is validated using published whole‐rock analyses and petrographic descriptions and its various applications are discussed.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.005 |
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".