Local content requirements : a global problem
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
In the wake of the Great Recession of 2008–09, economists feared that protectionist policies might sweep the world economy, echoing the wave of tariff escalations during the Great Depression of the 1930s. To some surprise, officials were more restrained and largely avoided traditional forms of protection (tariffs and quotas). As a result, economists underestimated the incidence of new protectionism because policymakers increasingly turned to more opaque behind-the-border nontariff barriers (NTBs). Using a combination of statistical analysis and case studies, the authors show that local content requirements (LCRs), a form of NTB, have become increasingly popular. How much was global trade actually reduced on account of LCRs? A conservative estimate might be $93 billion. Case studies featured cover the healthcare sector in Brazil, wind turbines in Canada, the automobile industry in China, solar cells and modules in India, oil and gas in Nigeria, and "Buy American" restrictions on government procurement.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.004 |
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