Bibliographic record
Abstract
The first appearance of abundant cumulus augite in the Kiglapait layered mafic body, on the coast of Labrador, defines the base of the Upper Zone at 84 PCS (percent solidified). The appearance of this phase is gradual, culminating in an impressive overproduction in the region around 90 PCS. This behavior can be rectified to yield an “errorless equivalent ” cumulus arrival of augite at 81 PCS. The observed modal behavior was interpreted as evidence for a poorly stirred magma in which augite compo-nents were sequestered in the core of a convection cell. The compositional relations of augite and olivine offer some support for this hypothesis. These relations are best viewed in the context of linear partitioning in binary solutions extended to coexisting pairs of mineral species that share the same exchange reaction, here FeMg –1. Hence, rather than a melting loop, the partitioning of Fe and Mg involves the two crystalline solutions augite and olivine. Here, the partition coefficient D is formulated as XFeAug/ XFeOl (hence D ≤ 1.0). A test of linear partitioning is applied: D = XMgAug*KD + XFeAug, where KD has its usual Roeder–Emslie meaning. For the subsolidus Kiglapait equilibria, a strong linear correlation is found (r2 = 0.995) for PCS> 91.4, running from fictive D = KD = 0.32 at the pure Mg end of the augite series to D = 1.0 at the pure Fe end of the augite series. For the stratigraphic interval 84–91 PCS, D is clustered well above the line at D = 0.63–0.68. This higher value of D suggests a metastable equilibrium on a narrower loop driven by an overstepping reaction. At high temperature modeled by QUILF, the same general relations hold,
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".