The impacts of third-party funding on cost decisions in investment arbitration
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 involvement of Third-party Funding (TPF) in investment arbitration disrupts the balance between the parties to an arbitration. Though a party’s reliance on external funding represents its impecuniousness to participate in an arbitration, many financially sound investors take TPF to reduce the risk associated with bringing a claim or are unwilling to stick their working capital in arbitration. The existence of TPF in arbitration is a material factor in deciding an order for security for arbitration costs. The third-party funder funds an investor to initiate arbitration and gets benefits from a cost award. However, the funder does not share an investor’s responsibility to pay an adverse cost. The funder’s immunity from adverse costs aggravates the demand for security for costs in a funded arbitration. While a claimant’s reliance on TPF is considered a material factor in issuing an order for security for its cost, this consideration, counter-wise, legitimizes the cost of funding as arbitration costs. Accordingly, the funding cost can be recoverable through an adverse cost award. The TPF consideration in an order for security for costs makes the funding arrangement a part of the arbitration proceedings. If the funding position of a party is considered in deciding an application for security for costs, it deserves equal consideration in awarding adverse arbitration costs. Establishing the funding cost as arbitration costs will increase the cost of the international arbitration and unjustly transfer public money to private entities.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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 | 0.001 |
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