Rule Set and Categorized Dataset for the Triangulated Categorization Framework on Legislative Responses to Violence Against Women in Brazil

Rule Set and Categorized Dataset for the Triangulated Categorization Framework on Legislative Responses to Violence Against Women in Brazil | Zenodo Skip to main Communities My dashboard Log in Sign up Zenodo is currently experiencing slowness and intermittent outages due to heavy automated traffic from bots and AI crawlers. We are aware of the problem, and our team is focused on stabilizing the service. Thank you for your patience. Published May 11, 2026 | Version 1,0 Dataset Restricted Rule Set and Categorized Dataset for the Triangulated Categorization Framework on Legislative Responses to Violence Against Women in Brazil Authors/Creators Viola, Carla Maria Martellote (Data manager) 1 Show affiliations 1.

Instituto Brasileiro de Informação em Ciência e Tecnologia (Ibict) Description This dataset is part of the article “A Triangulated Categorization Framework for Monitoring Sustainable Legislative Responses to Violence Against Women in Brazil: A Maria da Penha Law-Based Analysis” and was used to support the presentation and validation of the article’s results. The dataset operationalizes the Triangulated Categorization Framework through a structured categorization table. Each subclass is governed by explicit semantic and procedural elements, including scope notes, inclusion triggers, exclusion triggers, and typical examples. Scope notes define the interpretive boundaries of each subclass and clarify how institutional descriptors should be understood in relation to specific legislative intervention mechanisms. The inclusion and exclusion triggers support the systematic identification of subclass-specific semantic patterns within the combined analytical text field, composed of the official legislative summary and institutional indexing terms/subjects. This structure makes categorization decisions reproducible and auditable, since each decision can be connected to recorded evidence excerpts extracted from the legislative metadata. The dataset therefore provides both the categorized records and the rule set used to classify legislative propositions related to violence against women in Brazil. It supports transparency, reuse, methodological replication, and future comparative research in Knowledge Organization, legislative information, gender-based violence monitoring, public policy evaluation, and Sustainable Development Goal 5. Files Restricted The record is publicly accessible, but files are restricted. Log in to check if you have access. Additional details Dates Accepted 2026-05-11 ISKO 2026_São Paulo 16 Views 0 Downloads Show more details All versions This version Views Total views 16 16 Downloads Total downloads 0 0 Data volume Total data volume 0 Bytes 0 Bytes More info on how stats are collected.... Versions External resources Indexed in OpenAIRE Communities Keywords and subjects Keywords Knowledge Organization Categorization Legislative information Violence against women Maria da Penha Law Sustainable Development Goal 5 Brazil Details DOI DOI Badge DOI 10.5281/zenodo.20128581 Markdown [](https://doi.org/10.5281/zenodo.20128581) reStructuredText .. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.20128581.svg :target: https://doi.org/10.5281/zenodo.20128581 HTML <a href="https://doi.org/10.5281/zenodo.20128581"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.20128581.svg" alt="DOI"></a> Image URL https://zenodo.org/badge/DOI/10.5281/zenodo.20128581.svg Target URL https://doi.org/10.5281/zenodo.20128581 Resource type Dataset Publisher Zenodo Languages English Rights License Creative Commons Attribution 4.0 International The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. Read more Citation Export Technical metadata Created May 11, 2026 Modified May 11, 2026 Jump up About About Policies Infrastructure Principles Projects Roadmap Contact Blog Blog Support Help FAQ Developers REST API OAI-PMH Contribute GitHub Donate Funded by Powered by CERN Data Centre & InvenioRDM Status Privacy policy Cookie policy Terms of Use This site uses cookies. Find out more on how we use cookies Accept all cookies Accept only essential cookies

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