Designing a General Anti-Avoidance Rule for the East African Community – A Comparative Analysis
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 East African Community (EAC) is a regional integration project working towards the formation of a political federation. As a grouping of developing states, most EAC Partner States have legislated their own general anti-avoidance rules (GAARs) as a means to prevent base erosion and profit shifting. This article argues that the EAC federation, once formed, should continue this practice and legislate its own GAAR to protect its corporate tax base – one of the most important tax bases for African countries. This article further proposes a GAAR for the EAC that builds on the existing GAARs in the EAC Partner States and draws from international best practice through a comparative analysis of the GAARs in the EU Anti-Tax Avoidance Directive, the Income Tax Act in Canada and the Income Tax Act in South Africa. In so doing, the author proposes a GAAR for the EAC that is in keeping with international developments while adapting such developments to the EAC context.
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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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