Ruptures of War: Shame and Symbolic Violence in Post-Conflict Acholiland
Bibliographic record
Abstract
Up until 2006, conflict between the Lord’s Resistance Army (LRA) and the Ugandan government disrupted lives of people living in northern Uganda. The conflict has challenged ethnic identities, particularly that of the Acholi. Moreover, the disruptions of war have challenged the way my Acholi informants define themselves as human beings and members of society. In the following ethnography, I argue that not only have my informants experienced symbolic violence undermining their sense of honor and worthiness at the hands of the Ugandan government and the LRA, but that the shame they feel after the conflict also commits symbolic violence against themselves. The struggle for honor, dignity, worthiness, and legitimacy has been internalized, and they inhabit psychologically both the position of the dominant and the dominated. For my informants, shame is an undermining force that rattles the way they make sense of their world, affirm their identities, and justify their existence.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.017 | 0.024 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.003 | 0.006 |
| 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".