Bibliographic record
Abstract
Malawi's political culture is examined as it emerged in the colonial and early post-colonial periods, particularly in light of anti-colonial protest. Inspired by the events leading up to the overthrow of Dr. Hastings Kamuzu Banda's Life Presidency, this book explores the deep logic of Malawi's political culture as it emerged in the colonial and early post-colonial periods. It draws on archival sources from three continents and oral testimonies gathered over a ten-year period provided by those who lived these events. Power narrates how anti-colonial protest was made relevant to the African majority through the painstaking engagement of politicians in local grievances and struggles, which they then linked to the fight against white settler domination in the guise of the Central African Federation. She also explores how Dr. Banda (leader of independent Malawi for thirty years), the Nyasaland African Congress, and its successor, the Malawi Congress Party, functioned within this political culture, and how the MCP became a formidable political machine. Centralto this process was the deployment of women and youth to cut across parochial politics and consolidate a broad base of support. No less important was the deliberate manipulation of history and the use of rumor and innuendo, symbol and pageantry, persecution and reward. It was this mix that made people both accept and reject the MCP regime, sometimes simultaneously. Joey Power is Professor of History at Ryerson University, Toronto, Ontario.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".