Substantiation decision-making and risk prediction in child protection systems (Record no. 5162)

MARC details
000 -LEADER
fixed length control field 02077nab a22002417a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250625151418.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 160920t2016 -nz||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency AFVC
100 ## - MAIN ENTRY--PERSONAL NAME
9 (RLIN) 4218
Personal name Keddell, Emily
245 ## - TITLE STATEMENT
Title Substantiation decision-making and risk prediction in child protection systems
Statement of responsibility, etc Emily Keddell
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Institute for Governance and Policy Studies, Victoria University of Wellington,
Date of publication, distribution, etc 2016
490 0# - SERIES STATEMENT
Series statement Policy Quarterly
500 ## - GENERAL NOTE
General note Policy Quarterly, 2016, 12(2): 46-56
520 ## - SUMMARY, ETC.
Summary, etc "In the last few years, predictive risk modelling has been suggested for use in the child welfare environment as an efficient means of targeting preventive resources and improving practitioner decision-making. First raised in the green paper on vulnerable children, then translated into the white paper on vulnerable children and the Children’s Action Plan, and now part of the Child, Youth and Family review remit, this particular tool has provoked a barrage of opinions and wide-ranging analyses, concerning ethical implications, feasibility and data issues, possible uses and political consequences (Ministry of Social Development, 2011, 2012). This has resulted in a flurry of media, academic and policy debates, both here and internationally, and many reviews and related publications (Dare, 2013; Fluke and Wulczyn, 2013; Oakley, 2013; Blank et al., 2013; Keddell, 2015a, 2015b; Oak, 2015; Gillingham, 2015; de Haan and Connolly, 2014; Ministry of Social Development, 2014a; Pierse, 2014; Shlonsky, n.d.). While there are many aspects of the tool that require debate and analysis, this article focuses on one: its use of substantiation data as the outcome variable it attempts to predict." (Author's abstract). Record #5162
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element CHILD PROTECTION
9 (RLIN) 118
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 4928
Topical term or geographic name as entry element PREDICTIVE RISK MODELLING
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element SOCIAL POLICY
9 (RLIN) 551
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 103
Topical term or geographic name as entry element CHILD ABUSE
651 #4 - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME
Geographic name NEW ZEALAND
9 (RLIN) 2588
773 0# - HOST ITEM ENTRY
Title Policy Quarterly, 2016, 12(2): 46-56
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://ojs.victoria.ac.nz/pq/article/view/4587">https://ojs.victoria.ac.nz/pq/article/view/4587</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Journal article
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Dewey Decimal Classification     Vine library Vine library 20/09/2016   Online ON16090028 20/09/2016 20/09/2016 Access online