Surveys on the Consumption of Attiéké (Traditional and a Commercial, Garba) in Côte d’Ivoire
Bibliographic record
Abstract
Traditional attiéké and commercial attiéké Garba are fermented cassava semolina, steamed and prized by people living in the big cities of Côte d'Ivoire and elsewhere. Attiéké Garba is a derivative of the traditional attiéké resulting from intended manufacturing defects. A consumption survey was therefore conducted in Abidjan (big city) and two departments, Dabou and Jacqueville, major production areas of attiéké and Garba, to assess the importance and determinants of consumption of 4 types of attiéké (Adjoukrou, Ebrié, Alladjan and Garba), consumer preferences and to identify the descriptors of quality that motivate the consumption of these food products. Surveys showed that 99% of respondents consume regularly 1 to 2 times attiéké (traditional or commercial) per day. The consumption of attiéké is related to the organoleptic properties of the different types of attiéké mainly taste (65%), brightness (35%), absence of fibers (33%), color (22%) and odor (21%). The consumption of attiéké Garba is linked to its character of cheap food. Despite the preference of attiéké Adjoukrou (38%) and Ebrié (29%) for their better quality and popularity, the consumption of Garba (10%) is growing. Income, nationality or ethnicity, sex, socio-professional status and educational level have a major influence on the choice of a type of attiéké. The share of consumption of traditional attiéké and commercial attiéké Garba for middle-income consumers (70,000 CFA F 200,000 CFA F) is respectively 23.44% and 7.33% while it is 21.03% and 41.35% respectively for low-income consumers (r <70 000 CFA F).
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".