Research on the Determinants of Foreign Direct Investment Inflows of Gansu Province China
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
Foreign Direct Investment has contributed significantly to Chinese economic development. Yet the geographic distribution of the FDI is quite uneven. Compared with the inward FDI in the eastern and mid regions of China, the western region has attracted less FDI. FDI is fuelling much of the rapid economic leap of the developed regions of China and the significant inequity grows further. There are many determinant factors to influence the FDI inflows. The essay takes Gansu province as an example, the author concludes that the core constraining factors of Gansu province in FDI attraction are, but not limited to, the economy development and openness degree, natural environment and the impact of industrial cluster, thus, the government of Gansu province should formulate corresponding measures to attract FDI inflows so as to produce optimal results and stimulate the economy growth.
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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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