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 recent financial and economic crisis of the European Union had exposed the necessity to complete monetary union with an economic union. One of the assets of a stronger economic integration is the harmonization of the tax systems (e.g. the corporate tax regimes) of the 27 Member States. Having this in mind, the European Commission proposed a common mechanism for the calculation of the corporate tax base, the consolidation of the tax bases incurred in the different Member States and the subsequent allocation of the consolidated tax base between the Member States effected (formulary apportionment) in 2011. The system envisaged by the European Commission is already introduced by the world highly integrated economies, like the United States of America and Canada on a domestic level, where the corporate tax base shall be also allocated between the states and the provinces based on the formulary apportionment method. This current article aims to present and compare the elements (factors) of the formulary apportionment method applied by the United States of America and Canada, and the elements of the allocation method proposed by the European Commission.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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