TY - BOOK ED - DOT Consulting TI - Quantitative analysis of abuse in care PY - 2023/// CY - Wellington, New Zealand : PB - Abuse in Care Royal Commission of Inquiry, KW - New Zealand. KW - Abuse in Care Royal Commission of Inquiry KW - ADVERSE CHILDHOOD EXPERIENCES KW - ADULT SURVIVORS OF CHILD ABUSE KW - ADULT SURVIVORS OF SEXUAL ABUSE KW - ABUSED MEN KW - ABUSED WOMEN KW - CHILD ABUSE KW - CHILD NEGLECT KW - CHILD SEXUAL ABUSE KW - CHILD PROTECTION KW - CHILD WELFARE KW - DATA ANAYLYSIS KW - DEAF COMMUNITY KW - DISABLED PEOPLE KW - EDUCATION KW - EMOTIONAL ABUSE KW - GENDER DIVERSE KW - INSTITUTIONAL ABUSE KW - INSTITUTIONAL CARE KW - LGBTQIA+ KW - MĀORI KW - MENTAL HEALTH KW - PACIFIC PEOPLES KW - PASIFIKA KW - PEOPLE WITH LEARNING DISABILITIES KW - PERPETRATORS KW - PHYSICAL ABUSE KW - PSYCHIATRIC HOSPITALS KW - PSYCHOLOGICAL ABUSE KW - RELIGION KW - SCHOOLS KW - SEXUAL VIOLENCE KW - SOCIAL SERVICES KW - TAKATĀPUI KW - TAIOHI KW - TAITAMARIKI KW - TAMARIKI KW - TĀNGATA TURI MĀORI KW - TĀNGATA WHAIKAHA KW - TIRITI O WAITANGI KW - VICTIM/SURVIVORS' VOICES KW - YOUNG MOTHERS KW - YOUNG OFFENDERS KW - YOUNG PEOPLE KW - YOUTH JUSTICE KW - NEW ZEALAND N1 - Prepared for the Royal Commission of Inquiry into Historical Abuse in State Care and in the Care of Faith-based Institutions, September 2023. Released, 24 July 2024 N2 - DOT Loves Data is one of New Zealand’s leading providers of data science, data analysis and data visualisation. It employs a range of PhD level researchers and data scientists to ensure it is able to solve and distil complex problems into actionable insights. DOT was engaged to provide a quantitative analysis of the data collected from the 2,329 survivor abuse accounts as defined by its terms of reference. Using natural language processing, its role was to assist the Royal Commission to understand any existing data gaps, to improve the data integrity, and explain the data gaps in an easy to understand way. As the data collection techniques were improved throughout the collection of the survivor accounts, DOT’s remit was to ensure consistent analysis was captured across all accounts, based on both written and audio transcripts, in relation to features such as ethnicity, iwi, gender, LGBTQIA+, mental distress and disability. (From the website). Record #8848 UR - https://www.abuseincare.org.nz/our-progress/library/v/556/quantitative-analysis-of-abuse-in-care ER -