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 This paper illustrates how trade liberalization during an individual's early life can affect long‐term health and cognitive outcomes 15 years later (i.e., in adolescence). China's accession to the World Trade Organization has brought significant economic benefits but has also given rise to some environmental concerns. Exploiting variations in each prefecture's exposure to trade shock and trade‐induced pollution shock, this study constructed a shift‐share instrument variable model. The trade shocks in early life improved health and cognitive outcomes significantly during adolescence while trade‐induced pollution shock had the opposite effect, decreasing these two outcomes. These impacts were more pronounced among households with low economic status. Further investigation provided evidence for several underlying mechanisms, such as improved health and education resources and reduced SO 2 emissions by firms. This study provides useful insights into how to evaluate the long‐term effects of trade liberalization on human capital in terms of economic benefits and environmental costs in China.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.002 | 0.002 |
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