LA GESTION DES DÉCHETS BIOMÉDICAUX DANS LA RÉGION SANITAIRE DU GBÊKÊ : LIMITES ET IMPACTS SOCIO-SANITAIRES
Bibliographic record
Abstract
Three main reasons motivated our decision to devote ourselves to this thesis on "The Management of Biomedical Waste in the Gbêkê Health Region: limits and socio-health impacts". First, the observation of the Management of Biomedical Waste that does not comply with national and international standards. Then the lack of institutional culture among the actors in the Biomedical Waste Manage-ment (BMWM) sector, and finally the risks of exposure of the population to noso-comial and iatrogenic diseases, epidemics, etc. It was therefore a question of ana-lyzing the dysfunctions of the sector through the play of the actors in interaction, with a view to better management of this particular type of waste which consti-tutes a real danger for the population and the environment.We have, through an essentially qualitative and inductive research, carried out an immersion in the environment of the actors of the practical management of Bio-medical Waste (BMW) and potential actors. This immersion made it possible to make observations and to collect certain information through semi-structured in-terviews. These collected data were fully transcribed and then sorted using a the-matic sorting guide. These sorted data were subjected to content analysis.The results obtained made it possible to determine several actors in interaction in the Management of Biomedical Waste (MBMW). In addition, no stable institu-tional culture guides the action of these actors, most of whom are unaware of their role and their institutional power, which is therefore the basis of these observed dysfunctions. We therefore note a gap of efficient incinerators and in some locali-ties a lack of this essential infrastructure; which leads to the treatment of Biomed-ical Waste (DBM) in the open air in burning pits and placenta pits set up in each Health Center, and even the burial of these.From the dysfunctions identified, we were able to identify certain levers that could help revolutionize practices in the Biomedical Waste Management sector. This requires an infrastructural reform, the essential element of which is the mobile incinerator, in addition to the development of new skills necessary for the imple-mentation of new practices.
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How this classification was reachedexpand
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".