Songs of soldiers : decolonizing political memory through poetry and song
Bibliographic record
Abstract
In January 1979, a ship ferrying armed Ugandan exiles and members of the Tanzanian army sank on Lake Victoria. Up to three hundred people are believed to have died on that ship, at least one hundred and eleven of them Ugandan. There is no commemoration or social memory of the account. This event is uncanny, incomplete and yet is an insistent memory of the 1978-79 Liberation war, during which the ship sank. From interviews with Ugandan war veterans, and in the tradition of the Luo-speaking Acholi people of Uganda, I present wer, song or poetry, an already existing form of resistance and reclamation, as a decolonizing project. Drawing from political memory in postcolonial, African, Black, Indigenous and Diaspora studies, I argue that truth-telling, a fundamental aspect of reconciliation and restoration of justice among the Acholi, can be achieved through poetic expression. This dissertation extends the technical definition of Okot p’Bitek’s Song school of poetry to include form and content and the space for social and political commentary in various voices and landscapes. The poet as historian, and the artist as ruler, both Okot p’Bitek’s concepts, are illustrated through “Songs of Soldiers”. This work is deeply rooted in displacement and the desire to return – continuing factors in where and how I think about and articulate myself.
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".