Dan2026-economicsociology/daniel-political-embeddedness-chamber-of-co

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📘 Dataset Card — Political Embeddedness of Iran’s Chamber of Commerce

🔎 Overview

[ This dataset captures the political embeddedness of Iran’s Chamber of Commerce across multiple legal documents, including:قوانین اتاق بازرگانی (1399)اصلاحیه قانون اتاق بازرگانی (1373)آیین‌نامه‌های اجرایی (1395)قوانین بودجه و مقررات مالی مرتبطEach row represents a coded legal mechanism showing how the state shapes, constrains, supervises, or embeds itself within the Chamber’s governance structure.The dataset is designed for economic sociology, political economy, and state–business relations research]

🎯 Purpose of the Dataset

[The dataset operationalizes political embeddedness by extracting and coding:State presenceRegulatory oversightLegal constraintsAppointment powersPolicy alignment requirementsFinancial dependency mechanismsIt enables researchers to quantify and analyze how the Chamber’s autonomy is shaped by state actors]

📂 Dataset Structure

[notes — short interpretive note summarizing the embeddedness mechanismannotator — always “Daniel”evidencephrase — the exact phrase from the legal textsourcedocument — name of the law or regulationyear — publication yeardocumenttype — قانون / آیین‌نامه / اصلاحیهmechanismtype — type of embeddedness mechanism (e.g., نظارت، انتصاب، انحلال) stateactor — ministry or state body involvedembeddednesslevel — High / Medium / Lowembeddednesscategory — e.g., Regulatory Oversight, State Representation, Legal Constrainttextsegment — the relevant legal excerptarticle_id — ماده قانونی]

🏛️ Coding Scheme

[ State RepresentationRegulatory OversightLegal ConstraintsState AppointmentsPolicy Alignment]

📜 Source Documents

[ قانون اتاق بازرگانی، صنایع، معادن و کشاورزی ایران (1399)اصلاحیه قانون اتاق بازرگانی (1373)آیین‌نامه اجرایی تبصره‌های قانون (1395)قوانین بودجه و مقررات مالی مرتبط با اتاق]

🧪 Annotation Process

[Reading each legal articleExtracting the relevant phraseIdentifying the mechanism typeAssigning embeddedness level (High/Medium/Low)Categorizing the mechanismAdding interpretive notes]

📊 Intended Use

[Political embeddedness analysisState–business relations researchGovernance structure mappingLegal institutional analysisComparative political economyMachine learning classification of legal mechanismsDataset training for NLP models on Persian legal text]

⚠️ Limitations

[The dataset is based solely on legal texts, not actual political practice.Embeddedness levels are interpretive, though grounded in legal evidence.Some legal excerpts may require contextual reading of full articles.The dataset focuses on Iran’s Chamber of Commerce, not other business associations]

📚 Citation

[Daniel (2026). Political Embeddedness of Iran’s Chamber of Commerce — Legal Mechanisms Dataset. Hugging Face.]

🏷️ Tags

[political-sciencesociologyirangovernancechamber-of-commerceembeddednesslegal-analysisstate-business-relationspersian-textpolitical-economy]