Bibliographic record
Abstract
This thesis examines tax disputes adjudicated by investor-state tribunals. I argue that the nature of taxation – a compulsory levy – is unlike any other state regulatory measure such as an environmental or a public health measure. I suggest that tax-related investment disputes constitute a unique category of foreign investment disputes, and that investment tribunals should recognize them as such. Not all arbitral tribunals, however, acknowledge the distinct character of taxation which leads to inconsistent jurisprudence. Apart from the nature of tax, tax carve outs are another important factor that distinguish tax- related investment disputes from other investment disputes. I show that tax carve outs are included in IIAs in order to prevent overlap with tax treaties. Tax carve outs determine the scope of the tribunal’s jurisdiction, and limit the substantive obligations that are applicable to a state’s taxation measures; but since tax carve outs are worded differently and vary in scope, each arbitral tribunal needs to establish its jurisdiction carefully. While some tribunals have been careful to clearly demarcate their jurisdiction, others have been imprecise. An analysis of the arbitral awards reveals that the approaches of investment tribunals in tax- related investment disputes differ as to expropriation, fair and equitable treatment, and non- discrimination. For expropriation claims, some tribunals regard tax measures as a unique category and correctly set a high threshold for taxation measures to qualify as expropriation. With respect to non-discrimination and fair and equitable treatment claims, investment tribunals tend to assimilate tax measures to all other measures. These differences reflect not only the distinct nature of the obligations, but also tribunals’ failure to recognize that tax-related investment disputes constitute a unique category. In the future, it is likely that the lower threshold for fair and equitable treatment and non- discrimination will lead investors to rely primarily on these standards in tax-related investment disputes. Additionally, international tax law (ITL) has played a limited role in tax-related investment disputes. Investment tribunals, instead, prefer to rely on WTO jurisprudence in their analysis and findings. I argue that there are general principles of law in ITL which tribunals should include in their analysis.
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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 | 0.016 | 0.028 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.013 | 0.015 |
| Scholarly communication | 0.014 | 0.014 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.010 | 0.010 |
| Insufficient payload (model declined to judge) | 0.011 | 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 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".