RE-DEFINING NIGERIAS TAX SYSTEM AMIDST DIGITALISATION OF THEBUSINESS ENVIRONMENT
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
Technology, internet and e-commerce have redefined business models and practices such that values are created in environments different from where profits are earned and taxes are subsequently paid. Suchpractices, which exacerbatebase erosion and profit shifting, negatively affect the collectible tax revenues by governments in several jurisdictions including Nigeria,making it difficult for them to meet their social contract obligations to their citizens.Using an expost facto research design and qualitative research methodology, this exploratory study assessed the capacity of the Nigerian government to address the challenges imposed on its tax system by the emerging digitalized economy. The study observed that the issue of taxation in digitalized economy has not received the desiredlegislative and governancepriority attention largely because of the dearth of knowledge about its complexities as well as the undue dependence on revenue from crude oil.The study therefore recommends that the revenue authorities should set up a think tank comprising chartered accountants, tax practitioners, information technology experts, academics and regulators to develop a comprehensive framework to address the issue from a national perspective while the ECOWAS Commission should be prodded and supported by its member-states to take on the issue at the sub-regional level as OECD is currently doing for its member-states in Europe, USA, Japan and Canada.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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