Deploying a shareholder rights management system onto a distributed ledger: Demonstration
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Bibliographic record
Abstract
This work demonstrates how a multi-company shareholder rights management system has been implemented using Distributed Ledger Technology (DLT). In this demo1, we use a permissioned blockchain to store our corporate data, such as the list of all registered companies, each company's shareholders and how many shares everyone holds. It is assumed that the nodes of the blockchain are controlled by the main stakeholder agents but we show that users who do not run a node can still use multiple websites to access company information. On top of this, we show our system can be used to allow any shareholder to participate in elections for company matters. Lastly, we describe how we designed our system's architecture so that it could be implemented even on a public blockchain. Montreal, Canada.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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