Bibliographic record
Abstract
Abstract Much of the work on industrial location, internationalization and innovation is based on firm- or firm-network-level research, but does not consider the role of industry-based professional communities that can be crucial in providing access to knowledge, resources and personal networks. These communities, whose membership reaches well beyond firms themselves, are indispensable components of firms’ everyday activities, yet are often overlooked when investigating firm behavior. This paper focuses on the one hand on the role of local communities and those individuals that form them, and on the other hand on how they link with international communities and become crucial facilitators of internationalization processes. In a co-evolutionary perspective, we investigate the role of local professional communities and the local-global interfaces that are created in internationalization processes, and how such localized activity may be associated with regional development. In a conceptual discussion, we propose that local professional communities and their local-international community connections are crucial to the capacity to engage in internationalization projects. From this, we discuss a number of related questions: First, who are the members of local professional communities and how do they create knowledge? Second, how do local professional communities develop and what are the driving forces that underlie their growth? Third, what are the conditions for the reproduction of local professional communities? We conclude by highlighting that the interrelationship between local and international communities is a critical feature of a permissive environment that facilitates corporate success in the internationalization process, and this favorable interaction between firms and their environment equally impacts the development prospects of the city-regions where they are located.
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.
How this classification was reachedexpand
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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".