Bibliographic record
Abstract
The paper used the panel data from 2000 to 2014 of 9 developing economies to research the effect of FDI on GVC-participation of host countries and International Division of Labor Trap from the two dimensions of theory and demonstration. And further researches are carried on, which shows that FDI is beneficial of deepening GVC-participation of developing host countries. Furthermore, FDI has solidified the international division of labor by driving the developing host countries participate into the international production system leading to be fallen into the trap of international division of labor.FDI has solidified the level of international division of labor in developing host countries through the pre embedded "GVC", and the backward embedding of GVC is good for the separate developing host countries from the bottom Division. Among the three mechanisms,Scale effect and cluster effect could not be beneficial for developing host countries to separate from the bottom of Division. The learning by doing effect and path locking effect in Inherent division of labor further lead to be fallen in the international division of labor trap.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".