Innovation and public space: The developmental possibilities of regulation in the global south
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 Important product and process innovations are often developed in “public spaces” that promote collaboration and provide shelter from market competition. Given that most collaborative spaces are costly to establish, the possible implications are bleak for economically strapped developing countries. This paper highlights a less conspicuous – if not unknown – source of collaborative space: the regulatory process. Regulators can induce innovation by promoting collaboration across organizational, sectoral, and disciplinary boundaries in the interest of regulatory compliance. This paper documents the innovative consequences of efforts to regulate the use of lead‐based glazes in the Mexican ceramics industry and reconsiders several recent studies of upgrading in other countries that appear to have been driven, at least in part, by the regulatory process. Drawing on these cases, this paper makes four primary points: (i) that innovation in regulatory spaces is more common than previously acknowledged and is producing meaningful improvements in product quality and working conditions in developing economies; (ii) that promoting innovation in these regulatory spaces is an important developmental tool for countries that are “regulation‐takers” and have many low‐tech sectors; (iii) that this dynamic extends current conceptions of regulatory discretion, as well as development literature on state‐society synergies; and (iv) that establishing collaborative public spaces as a common conceptual framework is a critical step toward understanding the consequences of social regulation on upgrading.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it