Effects of exposure to traumatic events on self-esteem among residents of the city of Goma : Case of Quartier Buhene
Bibliographic record
Abstract
For more than a decade, the east of the Democratic Republic of the Congo in general and more particularly North Kivu has been facing regionalist tensions and political divisions to which we add other phenomena such as: barbarism, insecurity, police and military harassment, killings and violence, wars, tribal conflicts causing permanent instability, major population movements as well as the volcanic eruption, killing several families and even to those close to them who are dear to them. Given the extent of this situation, we believe that the self-esteem of the inhabitants of the City of Goma, more particularly of the Buhene Quarter, is not at the normal level given that they are exposed daily to unfortunate and traumatic events. The purpose of this study is to examine the effects of exposure to traumatic events on the self-esteem of Gomatraciens in general and in particular among the inhabitants of Buhene. After analyzing the results, we found that the more the Congolese of North Kivu in general and in particular those of the city of Goma are exposed to traumatic events, the more their level of self-esteem becomes too low.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".