Unpacking Dimensions of Foreignness: Firm‐Specific Capabilities and International Dispersion in Regional, Cultural, and Institutional Space
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
While recent research has pointed to the importance of regional strategy and the ‘interregional liability of foreignness,’ critics have pointed out that this argument obscures important differences within regions as well as the similarities across them. Bridging these diverging viewpoints, our research is designed to unpack this debate into cultural, institutional, and regional components. Using a large data set, we find that firms are significantly more dispersed across cultural and, in particular, institutional boundaries, than they are across geographically defined regional boundaries. Further, our results indicate that certain firm‐specific resources influence firms' global dispersion; in particular, we find that a nuanced interplay of proprietary capabilities such as technology, marketing, and partnering capabilities has an impact on the location of firm activities.
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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 | 0.002 |
| 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