The Single Contract Basis of International Corporate Taxation: A Review of Saipem v Firs
Bibliographic record
Abstract
Nigeria's principal corporate tax legislation, the Companies Income Tax Act 1961, stipulates as a basis for the taxation of a nonresident company deriving income in Nigeria, what it terms a “single contract.” This, according to the statute, entails a contract that embodies the activities of surveys, deliveries, installations or construction (common features of what is in common parlance termed a “turnkey project”). A major challenge with the application of the provision lies in the comprehension of the pivotal term, “single contract.” A diversity of views on the import of the term paints a telling picture of ambiguity and underlies the complication of its applicability. A recent decision of the Nigerian Court of Appeal provided some much-needed judicial perspective on the point. The Court in the said case advanced a line of reasoning which almost certainly guarantees tax liability in Nigeria for a nonresident company participating in a Nigerian turnkey project regardless, it seems, of how the relevant contract is structured or performed – an apparent leaning towards an anti-avoidance objective of statutory interpretation. This paper, in search of clarity, examines the decision of the Court in Saipem Contracting Nig. Ltd & 2 Ors. v Federal Inland Revenue Service & 2 Ors in view of the language of the Act, case law and other perspectives both at home and abroad.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.008 |
| Science and technology studies | 0.002 | 0.007 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".