Bibliographic record
Abstract
Dans un climat de conflits civils récurrents, le Kenya a vu s’accroître la violence locale et les razzias entre les communautés de pasteurs le long de son aride frontière nord. La violence transgresse les frontières et affecte les identités, qu’il s’agisse de personnes, de communautés ou de nations. Ce jeu de frontières, d’identités et de valeurs est illustré avec le compte rendu d’une attaque que les Turkana ont perpétrée en 1996 contre les Samburu et les Ariaal-Rendille à El Barta. Cette plaine d’El Barta, dont le toponyme signifie « le point de vue », fournit un « point de vue » sur la violence, sa nature, sa phénoménologie et ses liens avec l’État. Comme les forces de sécurité sont moins bien armées que certains groupes locaux et qu’elles sont compromises dans les conflits en cours, les communautés s’organisent par leurs propres moyens pour établir elles-mêmes l’équilibre de la terreur, générant ainsi un cycle de conflits.
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.
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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.030 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.010 | 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 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".