The Reach and Influence of Social Capital for Career Advancement and Firm Development Elite Managers and Russia's Exit from Socialism
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
The initiation of market liberalization resulted in a sharp decline in economic output and market disorganization across the former Soviet Union. Inadequate physical, financial, and human capital are among the explanations for the slow pace of enterprise restructuring and market development. The role of social networks, however, is less understood. Using survey data from a management-training programme in Russia, we examine the effects of entrepreneurial networks on both individual's professional advancement and firm's business development. We find that their participation in work-and association-based social networks varied and differentially affected outcomes at the individual and firm levels. We conclude that active participation in social capital networks catalyses returns on investments in human capital. Implications of this study for research on Chinese social networks are discussed.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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