Contribution à létude physico chimique et minéralogique des argiles de Mayouom (Cameroun)
Bibliographic record
Abstract
Cinq echantillons de materiaux argileux denommes MY 1 , MY 2 , MY 3 , MY 4 et MY 5 , provenant du gisement argileux de Mayouom (departement du Noun, Province de l'Ouest) ont fait l'objet d'etudes granulometriques, chimiques et mineralogiques. Ces materiaux argileux sont faiblement colores et sont constitues de particules dont la fraction limoneuse est predominante. La kaolinite est leur mineral majoritaire (48-80 %). A ce dernier mineral sont associes l'illite (3-8 %), le quartz dont la teneur est elevee dans MY 1 , MY 2 , MY 4 et MY 5 (> 30 %), l'anatase (< 5 %), l'hydroxyapatite de baryum et de strontium (0-1 %), l'hematite dans MY 3 (environ 1 %) et des traces de ce dernier mineral dans MY 2 et MY 4 . Ces argiles sont exemptes d'elements toxiques (antimoine, arsenic, cadmium, bismuth). Leur composition mineralogique les predispose a des utilisations en ceramique telles que porcelaines, vitreous (produits vitrifies pour sanitaires), emaux apres lavage et elimination du quartz. Toutefois, l'echantillon MY 3 , plastique et riche en kaolinite et illite, conviendrait a l'elaboration des gres ceramiques.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".