THE PERSISTENT DILEMMAS OF DEVELOPMENT: THE NEXT FIFTY YEARS
Bibliographic record
Abstract
Among the most significant of Michael Trebilcock's many exceptional scholarly contributions has been the impact of his work on the field of law and development. At the core of the development enterprise lies a central conundrum—Why do obviously desirable institutional outcomes not transpire in the developing world?—and Trebilcock has provided invaluable insights into how various historic, economic, social, and political forces may promote, shape, or inhibit such salutary change. Taking Trebilcock's existing corpus of work as a starting point, we outline a proposed research agenda for the next fifty years of law and development scholarship, highlighting outstanding questions that surround the sequencing of reforms; the role of path dependence; the interaction of law, culture, and institutions; and, finally, the role of international institutions in addressing the dilemmas of development.
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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 | 0.015 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.009 | 0.033 |
| Scholarly communication | 0.017 | 0.024 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.008 | 0.008 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".