CONSTRAINTS ON THE GENESIS OF FERRIAN ILLITE AND ALUMINUM-RICH GLAUCONITE: POTENTIAL IMPACT ON SEDIMENTOLOGY AND ISOTOPIC STUDIES
Bibliographic record
Abstract
The term glauconite covers a series of iron-rich minerals that form in the upper layer of sediments of the sea bottom in locations where sediment input is low. Because of its potassium content and the process of its formation, it is one of few minerals that can be used in both sequence stratigraphy and in the determination of sedimentation age. Although aluminum-rich glauconite has been identified in several locations, the way it forms remains relatively unknown. A study of the ferrian illite from the Cambrian Anse Maranda Formation shows that, according to the present models for the formation of glauconite and diagenesis, the Al-for- Fe substitution responsible for the genesis of Al-rich glauconite occurs during early burial. In order to maintain charge balance while replacing Fe2+ and Mg2+ by Al3+ at the octahedral site, there is an expulsion of K, as high as 31.6% of the measured K2O. This loss is important when evaluating the time needed to form glauconite and interpreting the occurrence of Fe-rich illite; it must be accounted for when using the K–Ar system, for either dating or in diagenetic studies.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".