CARACTERISATIONS PHYSICO-CHIMIQUES ET MINERALOGIQUES DE LARGILE DAKLAKOU UTILISEE DANS LA POTERIE EN VUE DE SON APPLICATION DANS LA FORMULATION DES AGREGATS LEGERS
Bibliographic record
Abstract
In order to contribute to the enhancement of local materials, Aklakou clays taken from the quarry and used for pottery have been characterized from a physicochemical and mineralogical point of view. Thus, the samples taken from the quarry were subjected to chemical and mineralogical analyzes. Several qualitative and quantitative analysis techniques were used (chemical analysis, thermal analysis, X-ray diffraction and analysis by I.R. spectroscopy). These results demonstrated the richness of this quartz clay, resulting in a high proportion of silica (77.62%). This study was therefore essential before any application of this type of clay in the formulation of aggregates and pottery products or even ceramics in the broad sense. We can therefore conclude that the clays mined at the Aklakou quarry are very favorable materials for formulations of pottery products and in other fields such as the formulation of light aggregates.\n\n
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".