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Record W6911723885 · doi:10.5281/zenodo.13638342

Goods and service tax emplimantation in India

2024· article· en· W6911723885 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCyberloafing and Workplace Behavior
Canadian institutionsnot available
Fundersnot available
KeywordsIndirect taxGoods and servicesValue-added taxDirect taxAd valorem taxExciseTax reformTax credit

Abstract

fetched live from OpenAlex

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

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.148
Threshold uncertainty score0.295

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.001

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.

Opus teacher head0.036
GPT teacher head0.306
Teacher spread0.270 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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