Geochemical and Mineralogical Characteristics of the Mayouom Kaolin Deposit, West Cameroon
Bibliographic record
Abstract
Geological, mineralogical and geochemical studies were carried out on clay materials of the same pit from Mayouom kaolin deposit located within a mylonitic shear zone about 30 km north of Foumban town (western Cameroon), in order to define their characteristics, the ore genesis and its economic interest. Seven samples were studied using different techniques: description of the pit, optical microscopy, microprobe analysis, and bulk chemical analyses. Two different facies (sandy kaolin and sand-poor kaolin) were observed in the field. Microscopical observations show that the mylonitic schistosity is well conserved in sandy clays, while sand-poor clays reveal the transformation of muscovite/illite into kaolinite. Quantitative and qualitative mineralogical investigations reveal kaolinite as predominant mineral, associated to quartz + illite/muscovite + anatase ± hematite ± Ba, Sr-hydroxyapatite. Kaolinite (54% and 81–84% respectively) mineral presents homogeneous shape and a good crystallinity. REE pattern show a Ce negative anomaly marking a reductive milieu of alteration. All these results point out a hydrothermal alteration of feldspars and mica-rich rocks as petrogenetic origin of kaolins. Sandy kaolin comes from mylonites basement while sand-poor kaolin is related to the alteration of magmatic intrusive shape veins. Due to its high kaolinite content (up to 85%) and the low iron mineral content (less than 1.5%), Mayouom kaolin is a suitable raw material for white burning industrial clays.
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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 | 0.001 | 0.001 |
| 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".