The Front and the Back Stage of Power: Formal and Informal Social Capital among Business Elites in the Three Largest Swiss Cities, 1890–2000
Bibliographic record
Abstract
In the resurgence of elite sociology, formal (organizational-based network resources) and informal (non-organizational relations) social capital have garnered attention, but their mutual dynamics remain underexplored. This study addresses this gap, examining how both forms intersect among urban business elites, focusing on their roles on corporate boards, perceived as a front stage of power, and their places of residence, representing a back stage. Using multiple correspondence analysis, and thanks to social network analysis and geographic information systems, we examine the evolution of business elites (n = 2164) in Basel, Geneva and Zurich along the 20th century. Our findings identify two dominant elite fractions: the ‘heirs’ and the ‘established’. The heirs’ power is concentrated within a clearly defined spatial context especially through informal social capital, while the established derive their power from extensive possession of formal social capital. The varying presence of these two groups mirrors developments of Swiss capitalism in the 20th century.
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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 | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| 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".