Bibliographic record
Abstract
The newly implemented Goods and Service Tax (GST) system of India willbring 'One Nation One Tax' to unite the existing Indirect Taxes under one umbrella. Theimportant motive of the government to enact the GST was to make our business Globallycompetitive, Efficient Tax collection, Easy inter-state movement of goods, Reduction in thecorruption, Removing of cascading effect of tax, Higher threshold for registration, Onlinesimpler procedures etc.. Goods and service tax is taking India by the storm. India has chosenthe Canadian model of dual GST. France was the first country to implement GST to reducetax-evasion. Since then, more than 140 countries have implemented GST with some countrieshaving Dual-GST, for example Brazil and Canada. India has chosen the Canadian model ofdual GST as it has a federal structure where the Centre and states have the powers to levy andcollect taxes. This paper especially focused on Comparative Study of Indian GST withCanada Model.
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How this classification was reachedexpand
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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".