Right to Development Governance: A Policy Proposition for the Kingdom of Lesotho
Bibliographic record
Abstract
Abstract In this article, we advance a right to development governance policy proposition for the Kingdom of Lesotho. Contrary to the grim realities that portray Lesotho as landlocked and least developed, the country presents enormous potential, which with the correct policy choices, can radically transform the development landscape across the country. To harness Lesotho’s multiple development futures with strategic foresight entails blending futures analysis with scenario development modelling, absent which is bound to produce ambiguities in policy formulation. From a blend of perspectives in law, economics and political science, we inquire whether an alternative model could produce transformative development deliverables in Lesotho. Drawing from the modelling of three development scenarios, we argue in favour of the right to development governance model, which we find more pragmatic, with the potential to respond to Lesotho’s situational realities.
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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 | 0.001 | 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 | 0.000 |
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".