Variabilité Climatique Et Changements Dans L’environnement À Korhogo En Côte D’ivoire : Mythes Ou Réalité ?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Climate change which is considered as a threat to biodiversity, causes paradoxical situations everywhere it manifests itself. These include, among others, drought and desertification; floods and storms; sea level rise, reduction of the vegetation cover; water supply sources and, animal and plant species disappearance. In Korhogo, in the North of Côte d’Ivoire, the climate variability and environmental change phenomena are perceived and described by the population. A qualitative approach with historical and comparative analysis tools are used in this study to focus on the perceptions of the populations through indicators of both climate variability and environmental changes. It also analyses the major challenges the population will face, which are mainly related to alteration in farming practices and seasons, loss of production, and extension of the lean period, the risk of food insecurity and conflicts related to the exploitation and the distribution of water resources; and mostly, to the lack of information- educationcommunication on the phenomenon. On the whole, although the study brings out an awareness about climate variability and environmental changes, it especially show the need for emergent multidimensional actions for effective response strategies to the changes observed in the area.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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 it