Symbiotic Vs Commensal Networking: the Case of Textile SMEs in China and Russia
Bibliographic record
Abstract
The purpose of this research is to contribute to the literature addressing the characteristics of small and medium enterprises (SMEs) based on the sample drawn from two emerging economies – China and Russia. The study investigates the intensity and typology of networking activities that SMEs are involved in. The research contributes to the field by empirically investigating, testing, and putting into a unified framework the measurement tools required for identifying symbiotic and commensal types of SMEs’ networking interactions. It also provides an insight into attitudinal, managerial, cultural, and environmental factors that condition these two types of networking and influence SMEs’ willingness to globalize their operations and thus make their networks international. The overriding framework of the study can be stated as developing, validating and testing the symbiotic networking concept relatively to the international business studies. In this way, the study contributes to overcoming the criticism that network theory is not predictive by nature and is not testable.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".