Bibliographic record
Abstract
This article re-examines the notion of “intercommunity conflict”, commonly used to characterize recent confrontations (from 2015 onwards) between armed men/groups from Fulani and Dogon communities in central Mali, particularly in the Mopti and Bandiagara regions. The violence arising from these tensions easily lends itself to facile oppositions between Dogon victims and Fulani executioners, or vice versa, giving thus the impression that ethnic groups are substantial entities to which common interests can be attributed. Yet there is ample evidence of collaboration between Dogons and “Fulani jihadists”, even though they are supposed to be antagonists, calling into question the misleading intercommunity characterization of the conflict. The transformation of the conflict tends to show that ethnicity actually matters less than the interests that individuals or groups, even supposed opponents, can obtain from each other. The article is based on sixty individual interviews conducted during multiple field missions in Ténenkou, Mopti, and Bandiagara during 2023 and 2024.
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 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 | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".