Contribution des élèves et étudiants à la compréhension de la crise socio politique de 2008-2010 en Côte d’Ivoire: Propositions de recherche de cohésion
Bibliographic record
Abstract
The study is a contribution to national reconciliation in Cote d’Ivoire after the serious socio-political crisis that this country experienced in 2010-2011. At the origin of the reflection, there was the work sparked by the heuristic commission of the great Commission “Dialogue Truth and Reconciliation”, which wanted “the thought away from passions and invites each other to give more chance to the general interest “. The objectives of the research are to understand and explain, according to the high school and university students’ perceptions, the positive or negative contribution of the students to the social cohesion divide during the last decade and to formulate proposals likely to improve the quality of life relevance and effectiveness of the national education / training policy on cohesion and reconciliation. At the end of the content analysis of the data from the focus groups, the respondents believe that to prevent the school from going back into violence and politicking, we must: introduce rigor at school, clean up the school and university environment, improve the working conditions of learners, increase the promotion of young jobs and promote their professional integration.
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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 | 0.009 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".