Goods and service tax emplimantation in India
Bibliographic record
Abstract
Abtract:GST, or Goods and Services Tax, is an indirect tax imposed on the supply of goods and services. It is a multi-stage, destination-oriented tax imposed on every value addition, replacing multiple indirect taxes, including VAT, excise duty, service taxes, etc. Goods and services are included under a single domestic indirect taxation law for the whole of India. In this regime, tax is charged at each point of sale.History of GST (Goods and Services Tax): GST was first implemented as a tax regime in 1954 in France and later adopted by several countries, including Australia, Canada, the United Kingdom, and Spain. South Korea Vietnam. Monaco, etc.In India, the GST came into force in 2000 after a committee was set up by the then Prime Minister Atal Bihari Vajpayee, a task force. Headed by the finance ministry's advisor, Vijay L. Kelkar, he concluded that GST could help improve the tax structure in India. In 2006. the Union ministry of finance proposed GST introduction from 1 April 2010. But the Constitution Amendment Bili to facilitate the introduction of OST law was introduced in 2011. However, four supplementary GST bills were passed in Lok sabha and approved by the cabinet. Later, GST came into force on 1 July, 2017
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".