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Record W4399291280 · doi:10.21275/mr24503150105

Impact of Financial Regulation on Arbitration Institutions and Corporate Compliance in India

2024· article· en· W4399291280 on OpenAlexaff
Sufiya Firoz Patil, Shaista Peerzada -

Bibliographic record

VenueInternational Journal of Science and Research (IJSR) · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Arbitration and Investment Law
Canadian institutionsMarriott International (Canada)
Fundersnot available
KeywordsCompliance (psychology)ArbitrationBusinessAccountingFinancial systemFinancePolitical scienceLawPsychology

Abstract

fetched live from OpenAlex

Arbitration is a legal process that promotes the resolution of private disputes, commonly employed for business conflicts, particularly in the context of multinational transactions.The recognition of this practice in India in the late 19th century and was subsequently extended to various parts of British India in 1908.The Arbitration and Conciliation Act 1996 was enacted in 1996 with the purpose of dealing with both domestic and international arbitration.International commercial arbitration is a substitute approach for settling conflicts between private entities that arise from business transactions across different countries.It enables parties to bypass legal proceedings in national courts.In the legal matter of Marriott International Inc. versus Ansal Hotels Limited, the party appealing the decision aimed to contest an order issued by a single judge.The appellant contended that the single petition for relief on multiple causes of action was not viable, as each contract constituted an autonomous agreement aimed at delivering services.

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)0.008
metaresearch head score (Gemma)0.032
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.043
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.032
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.003
Science and technology studies0.0030.009
Scholarly communication0.0100.002
Open science0.0020.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.138
GPT teacher head0.403
Teacher spread0.265 · 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 designNot applicable
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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