Governance Effectiveness: The Interaction of Ethno-Racial Diversity and Social Capital
Bibliographic record
Abstract
This research examines the relationship among Board Diversity, Social Capital, and Governance Effectiveness by asking, “does board ethno-racial diversity moderate the relationship between Social Capital and Governance Effectiveness, and if so, how?” Exploring the direct and interacting effects of demographic diversity and Social Capital, and their relation to governing-group effectiveness using a two-sample field survey design, we illustrate whether heterogeneous or homogeneous group compositions amplify or attenuate Governance Effectiveness, and to what degree. Primary analyses find no support for Board Diversity moderating the Social Capital-Governance Effectiveness relationship, with secondary analysis revealing a more complex interaction for Governance Effectiveness, albeit inconsistently, across samples. Our investigation points to the value of social resources in understanding governance as an inherently socially complex activity or capability, predicated on truce or mutual agreement and shaped by the composition and connections of boards.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 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".