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
How does foreign direct investment (FDI) affect income inequality? We bring evidence from the natural experiment of Central and Eastern Europe (CEE) to bear on a hotly debated topic. We begin by outlining the literature on the effect of FDI on income inequality, and the serious critiques offered by Firebaugh that raised doubt on previous research. We then discuss the ways in which CEE countries provide a natural experiment with which to contribute to this debate. We estimate a series of fixed effects regression models that relate income inequality to foreign investment and a baseline internal development model. We find that foreign investment has a robust positive effect on income inequality, net of unmeasured heterogeneity across cases, the internal development model, additional controls, and the critiques offered by Firebaugh. Further, we show that the effect is observable over the short term, no matter how FDI is measured. We conclude by directing attention to CEE countries as a historically unique opportunity to gauge the effect of exposure to the world economy on many development outcomes.
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 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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