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
This paper examines the extent to which cultural proximity influences, and is influenced by, bilateral trade flows. Variables measuring common language or religion, commonly considered to be measures of cultural proximity, have been found to be highly significant in explaining the volume of trade between countries, but these measures have the distinct disadvantage of being static; they do not change over time. In fact, however, culture does change, possibly in response to exposure to the foreign goods, methods, and ideas brought across borders by trade; the cultural "distance" between two countries can therefore be seen to fall or rise over time. In this paper, responses to World Values Survey questions regarding trust, respect, control, and obedience are used to create a measure of cultural distance. I use this cultural distance variable in gravity regressions and show that more culturally-distant countries trade less, but that more traditional measures of culture are more significant in explaining trade. I then explore the determinants of cultural distance, finding that exports reduce cultural distance.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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