Predictive risk modelling to prevent child maltreatment and other adverse outcomes for service users : (Record no. 5410)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 02246nab a22002777a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250625151429.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 170501t2016 -nz||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | AFVC |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Gillingham, Philip |
| 9 (RLIN) | 6646 |
| 245 ## - TITLE STATEMENT | |
| Title | Predictive risk modelling to prevent child maltreatment and other adverse outcomes for service users : |
| Remainder of title | inside the 'black box' of machine learning |
| Statement of responsibility, etc | Philip Gillingham |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Name of publisher, distributor, etc | Oxford, |
| Date of publication, distribution, etc | 2016 |
| 500 ## - GENERAL NOTE | |
| General note | British Journal of Social Work, 2016, 46(4): 1044-1058 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | "Recent developments in digital technology have facilitated the recording and retrieval of administrative data from multiple sources about children and their families. Combined with new ways to mine such data using algorithms which can ‘learn’, it has been claimed that it is possible to develop tools that can predict which individual children within a population are most likely to be maltreated. The proposed benefit is that interventions can then be targeted to the most vulnerable children and their families to prevent maltreatment from occurring. As expertise in predictive modelling increases, the approach may also be applied in other areas of social work to predict and prevent adverse outcomes for vulnerable service users. In this article, a glimpse inside the ‘black box’ of predictive tools is provided to demonstrate how their development for use in social work may not be straightforward, given the nature of the data recorded about service users and service activity. The development of predictive risk modelling (PRM) in New Zealand is focused on as an example as it may be the first such tool to be applied as part of ongoing reforms to child protection services." (Author's abstract). Record #5410 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| 9 (RLIN) | 181 |
| Topical term or geographic name as entry element | DATA ANALYSIS |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| 9 (RLIN) | 103 |
| Topical term or geographic name as entry element | CHILD ABUSE |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | CHILD NEGLECT |
| 9 (RLIN) | 114 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | INTERVENTION |
| 9 (RLIN) | 326 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| 9 (RLIN) | 4928 |
| Topical term or geographic name as entry element | PREDICTIVE RISK MODELLING |
| 650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | SOCIAL SERVICES |
| 9 (RLIN) | 555 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | SOCIAL WORK PRACTICE |
| 9 (RLIN) | 562 |
| 651 #4 - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME | |
| Geographic name | NEW ZEALAND |
| 9 (RLIN) | 2588 |
| 773 0# - HOST ITEM ENTRY | |
| Title | British Journal of Social Work, 2016, 46(4): 1044-1058 |
| 830 ## - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | British Journal of Social Work |
| 9 (RLIN) | 5239 |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://doi.org/10.1093/bjsw/bcv031">https://doi.org/10.1093/bjsw/bcv031</a> |
| Link text | Read abstract |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Journal article |
No items available.