Good Governance and Development in Botswana – The Democracy Conundrum
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Unlike many of its African neighbours, Botswana achieved levels of socio-economic development in spite of its abundant mineral wealth. Botswana’s effective management of its mineral resources also aided in its avoidance of the resource curse and corresponding weak institutions. The contribution of Botswana’s mineral wealth to its development best characterizes the country as a “resource-rich developmental state.” However, the correlation between democratic principles and institutions to Botswana’s developmental success was unclear. This paper examines the connection between democracy and development in Botswana by relying on the “thin” versus “thick” spectrum of democratic institutions expounded by Mariana Prado, Mario Schapiro, and Diogo Coutinho. The paper argues that Botswana’s institutions are not democratically “thick”; therefore, democracy and “good” governance, as its conceived neoliberally, do not explain Botswana’s development outcomes. Instead, this paper contends that David Trubek, Diogo Coutinho, and Mario Schapiro’s “legal functionalities” framework, which credits the success of development policies to four roles the legal system could play: (i) safeguarding flexibility, (ii) stimulating orchestration, (iii) framing synergy, and (iv) ensuring legitimacy, is better suited to explain the success of Botswana’s resource-rich developmental state.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 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 | 0.001 | 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 | 0.001 |
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 it