Bibliographic record
Abstract
Leadership and political systems in most of Africa have been described in several negative ways. Paternalism, clientelism, dictatorship, corruption and such pejorative labels have been used to described the type of politics prevalent in most of Africa today. A number of studies have explained Africa’s political challenges in the context of the choices of postcolonial African leaders. Others have pointed to European colonial exploitation and its destructive legacies as the foundations of the perverse political culture that define contemporary Africa. While these factors play important roles in defining the type of politics that has endured in the continent during the past half century, this paper takes a look at another epoch that had significant impacts on Africa’s political culture. The paper argues that the foreign policies of the United States and USSR - two major actors in Africa during the Cold War - had some of the most significant impacts on the political culture that evolved in postcolonial Africa. In pursuit of ideological supremacy, these foreign actors focused on undermining each other, with little consideration on how their actions in Africa were shaping the continent’s political development. By providing military support to opposing forces in African countries, the Cold War actors institutionalized a violent political culture in postcolonial Africa.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.010 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".