Seeing through African protest logics: a longitudinal review of continuity and change in protests in Ghana
Bibliographic record
Abstract
Protests in Africa have a long history. Yet, for many years, western misconceptions in protest studies have hindered our understanding of the particularities and commonalities of African protests. In this study, we scrutinize the historical continuity and discontinuity of protests in Africa, using Ghana as a case. We situate a longitudinal analysis of protests in Ghana within the theoretical model of protest logics, using the institutional-analytical method. The study finds historical continuity largely in terms of proletarian (high cost of living, dispossession and inadequate infrastructure), republican (participatory governance and corruption) and corporatist (working conditions and unemployment) mobilisation themes in Ghana. These themes are underpinned by the processes of class struggle, accumulation by (urban) dispossession, neoliberalism, splintered urbanism, gentrification and corruption. The implication of this study is that contemporary protests in Africa would be influenced by issues such as high cost of living, participatory governance, erratic power supply, unemployment, poor road infrastructure and corruption. These issues should be prioritized in the agenda of African governments in order to avert spontaneous protests.
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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 | 0.006 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 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".