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
Purpose – This paper aims to examine the Indian migrants' role in attracting outward foreign direct investment (OFDI) from India to their respective host countries. Diasporas play a crucial role in augmenting trade, foreign direct investment and prosperity of a country. They facilitate acquisition and exchange of technical knowhow, market information and physical capital, and are therefore considered as social capital. Design/methodology/approach – This paper employs mixed effect model using data for the period 1999-2008. Findings – This paper finds that the presence of Indian diaspora has a substantial positive effect on the volume of Indian overseas investments in the developed countries. This is particularly the case with Indian OFDI to Asia Pacific, whereas those to Europe appear to be affected by the Indian migrant community only in the presence of bilateral investment treaties (BITs). The author findings highlight the role of Indian diaspora in promoting trade and investment links between India and other Asia Pacific countries. Originality/value – This is the first empirical analysis of the role of Indian overseas community in attracting Indian OFDI.
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 | 0.000 | 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