Africa as a ‘Theatre’ of International Law and Development
Bibliographic record
Abstract
Abstract This chapter provides an account of the ways in which the international project of development has been received, embraced, and contested in Africa, and the roles that law, often a potent instrument of change and control, has played in framing and shaping that encounter. In viewing Africa as a regional ‘theatre’ of the international law and development project, the chapter principally offers an account of the ways in which international law and development apparatuses, institutions, norms, policies, and praxis have been received, debated, embraced, or contested, and shaped in and by the multiplicities and complexities of African thought, knowledge, and practice. The chapter develops the argument that while African knowledge generation, practice, and resistance in the field has, to varying degrees, both contested or embraced, the dominant versions of the international law and development project, Africa’s innovations in all three aspects need to be better understood and factored in.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".