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Record W4414417071 · doi:10.55454/rcsas.5.09.2025.002

Federalism In India and the Challenges of Cooperative Federalism: Constitutional Vision, Contemporary Practices, and Emerging Trends

2025· article· en· W4414417071 on OpenAlexaboutno aff

Bibliographic record

VenueThe Review of Contemporary Scientific and Academic Studies · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicSoutheast Asian Sociopolitical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFederalismGovernment (linguistics)ConstitutionLegislatureState (computer science)

Abstract

fetched live from OpenAlex

Federalism in India represents a distinctive constitutional arrangement, often described as "quasifederal," where a strong Centre coexists with constitutionally guaranteed powers of the States.Rooted in the vision of the Constituent Assembly, Indian federalism balances unity with diversity through an elaborate distribution of legislative, administrative, and fiscal powers.Over the decades, this balance has evolved into the principle of cooperative federalism, emphasizing collaboration between the Union and the States in policy formulation, fiscal management, and governance.Institutional mechanisms such as the Inter-State Council, Finance Commissions, Zonal Councils, and more recently, NITI Aayog and the GST Council, exemplify this cooperative framework.However, the practice of cooperative federalism faces significant challenges.Political friction between ruling parties at the Centre and in the States, fiscal imbalances aggravated by GST compensation disputes, and the limited role of institutional forums often hinder effective cooperation.Judicial interventions, while upholding federal principles, have not eliminated ambiguities in Centre-State relations.Comparative insights from other federations such as the United States, Canada, and Germany highlight potential reforms for strengthening India's cooperative model.The present research argues that revitalizing cooperative federalism is indispensable for sustaining India's democratic pluralism, ensuring inclusive development, and addressing emerging governance challenges.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.884
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.019
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.099
GPT teacher head0.417
Teacher spread0.318 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
Domainnot available
GenreReview

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
Published2025
Admission routes1
Has abstractyes

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