Life-writing as Political Critique: Kunle Ajibade’s Jailed for Life: a Reporter’s Prison Notes and Chris Anyanwu’s The Days of Terror: a Journalist Eye-witness Account of Nigeria in the Hands of Its Worst Tyrant
Bibliographic record
Abstract
Life-writing, which usually manifests in the form of personal narrative, has a social dynamics the author explores as a social energy of her/his story, but also as a platform, especially in a postcolonial society, for engaging the socio-political realities of her/his society in pursuit of social justice. From this perspective, I read Kunle Ajibade’s Jailed for Life: a Reporter’s Prison Notes and Chris Anyanwu in The Days of Terror: a Journalist Eye-witness Account of Nigeria in the Hands of Its Worst Tyrant, showing how, beyond narrating their personal trauma as political prisoners, they historicise the condition of tyranny in Nigerian in the 1990s. The point is emphasised that life-writing is also a site of resistance, and by writing their prison memoirs Ajibade and Anyanwu, noted dissident journalists, perform acts of resistance in continuation of their struggle for a democratic Nigeria.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.019 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.006 |
| 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".