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Record W4415518798 · doi:10.4314/jpds.v19i3.1

Federalism in Theory and Practice: A Comparative Analysis of Selected States (LONG ESSAY)

2025· article· W4415518798 on OpenAlexaboutno aff
Rufus Anthony

Bibliographic record

VenueJournal of Policy and Development Studies · 2025
Typearticle
Language
FieldSocial Sciences
TopicLocal Government Finance and Decentralization
Canadian institutionsnot available
Fundersnot available
KeywordsFederalismCorporate governanceWork (physics)Power (physics)Resource (disambiguation)Comparative caseState (computer science)

Abstract

fetched live from OpenAlex

This intensive essay undertakes a rigorous examination of federalism, exploring its theoretical underpinnings and practical applications across diverse national geographies. Through a comparative analysis of federal systems which includes: America, Germany, Australia, Canada, India, Brazil, South Africa and Nigeria, this study unveils the complexities and nuances of federal governance, shedding light on the tensions between theoretical ideals and practical realities. The analysis encompasses various types of federalism, including symmetrical and asymmetrical models, and examines key doctrines such as power sharing, fiscal federalism, and intergovernmental relations. The essay critically assesses the challenges and opportunities arising from federal practices in each country, including issues of regional autonomy, resource distribution, and conflict resolution. Adopting content analysis both as instrument of data collection and analysis, the study through a comparative lens, evaluates the efficacy of different federal models in addressing these quagmires and promoting stability, democracy, and development. The findings of this study underscore the importance of context-specific adaptations and innovations in federal design, highlighting the need for flexible and responsive people-oriented governance structures that can accommodate diverse regional needs and aspirations. By synthesizing theoretical insights with empirical observations, this work contributes to a deeper understanding of federalism's potential and limitations, offering valuable lessons for policymakers, researchers, and practitioners seeking to strengthen federal systems and promote more effective governance. Ultimately, this essay demonstrates that federalism, when thoughtfully designed and implemented, can be a powerful tool for managing diversity, promoting regional development, and fostering national unity, but its success depends on careful consideration of the unique historical, cultural, and socio-economic contexts of each State.

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)0.006
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.008
Science and technology studies0.0070.010
Scholarly communication0.0050.005
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.039
GPT teacher head0.424
Teacher spread0.385 · 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 designTheoretical or conceptual
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
Published2025
Admission routes1
Has abstractyes

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