Bibliographic record
Abstract
Introduction Most VAT regimes require registered (or taxable) persons to file returns and remit tax. In most cases, a firm is required to register if it makes or expects to make at least the statutory minimum level of annual taxable sales in connection with its business or economic activity. Not all sales by a person come within the scope of a VAT. For example, in most countries, an individual’s casual sales do not constitute taxable business activity and are not taxed. Hobbies and similar activities that do not rise to the level of a “business” generally are not taxed. An employee could be treated as a person rendering taxable services to her employer and therefore a VAT taxpayer, but no country has done this. This chapter discusses registration (including some required registration by nonresidents), who is liable for tax, and what economic activity subjects a seller to tax under various VAT regimes. Registration In General Registration is part of a self-assessment VAT system that typically is reinforced with harsh civil and criminal penalties for noncompliance. Many VAT systems dei ne a taxable person subject to the VAT rules as a person who is registered (a registrant) or is required to register. Nonresidents without a fixed location in the country may be subject to a different set of rules. The registration requirement generally is imposed on a person or firm that makes at least a threshold amount of taxable sales.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.035 | 0.016 |
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".