Issue linkages in Regional Trade Agreements
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
Reducing trade barriers offers tremendous potential for economic growth and productivity gains. However, higher incomes and increased industrial output can negatively impact the environment. This paper studies the impacts of trade liberalization on the emissions of ozone depleting substances regulated under the Montreal Protocol. While freer trade might challenge the gains achieved by the Montreal Protocol by increasing domestic use of ozone depleting substances, environmental provisions in regional trade agreements linked to Montreal Protocol participation might mitigate such negative environmental outcomes. The paper provides causal evidence that signing a new regional trade agreement leads to increases in consumption of ozone depleting substances relative to Montreal Protocol targets. Environmental provisions aimed at controlling ozone depleting substances offset the increase in consumption of ozone depleting substances observed in regional trade agreements without such provisions. The findings show that the effect is rooted in preventing a “reduction in overcompliance” with the Montreal Protocol observed in regional trade agreements without provisions. The findings also show that cumulative exposure to trade agreements, especially those with ozone depleting substances provisions, increases the speed at which countries ratify the Montreal Protocol amendments.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.008 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.051 |
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