Bibliographic record
Abstract
The Organisation for Economic Co-Operation and Development (OECD) recently emerged as the site of unprecedented, multilateral, and seemingly high-stakes negotiations about the future of international business income taxation. Judging by the political resources deployed in these negotiations, international tax has entered unchartered territory. Ruth Mason offers a timely and balanced portrayal of the OECD process so far. But explanations of this process remain eminently contestable. On the one hand, international institutions that address externalities from uncoordinated actions and produce mutual benefits for participating nations can be highly stable. On the other hand, the OECD has struggled, whether in its Base Erosion and Profit Shifting (BEPS) and post-BEPS initiatives or during the pre-BEPS era, to articulate the goals for which international coordination in taxation is needed. By many accounts, recent discussions at the OECD are motivated mainly by the desire to stop foreign imposition of taxes on U.S. companies, or, as the other side of the same coin, to avert the wrath of the single hegemonic power in international tax. What is the best characterization of this conflict? I believe that understanding the underlying subject matter for international coordination, as opposed to merely the institutions that might facilitate such coordination, is required for identifying the coming transformation of international tax.
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.
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 | 0.008 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.007 | 0.022 |
| Scholarly communication | 0.013 | 0.019 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 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".