Corporate, social, political connections and corporate governance: A review
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
Considering the important role of connections in corporate governance quality, this review paper has investigated the effectiveness of corporate, social, and political connections on corporate governance practices. In general, the findings of this research show that networking activities in various forms positively and negatively affect corporate governance practices. As far as corporate connections are concerned, there is no consensus on the relationship between interlocked boards and firm performance. Moreover, interlocking boards are positively associated with the propagation of some governance malpractices such as earnings manipulation and options backdating. Regarding social connections, the evidence provides contradictory results regarding the effects of social ties on CEO compensation and firm performance. Finally, as for political connections, the findings related to the impact of political connections on corporate decisions and firm value are mixed. Furthermore, politically connected firms pay lower taxes; have more access to credit markets; and enjoy governmental contracts. Additionally, in some cases, political ties are positively associated with corrupt activities
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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