Another Pandora's box? (Record no. 4474)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01699nab a22002537a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250625151347.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 140821s2014 xxu||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | AFVC |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | de Haan, Irene |
| 9 (RLIN) | 3712 |
| 245 ## - TITLE STATEMENT | |
| Title | Another Pandora's box? |
| Remainder of title | Some pros and cons of predictive risk modeling |
| Statement of responsibility, etc | Irene de Haan and Marie Connolly |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Name of publisher, distributor, etc | Elsevier, |
| Date of publication, distribution, etc | 2014 |
| 500 ## - GENERAL NOTE | |
| General note | Children and Youth Services Review, 2014, 47(1): 86-91 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | Early intervention, promoted as being important to the prevention of child maltreatment, is challenged by the difficulty of identifying at risk families before patterns of abuse are established. A way of identifying these families before they reach the radar of statutory systems of child protection is through predictive risk modeling (PRM). Using large datasets PRM tools are able to use algorithms with significant capacity to ascertain and stratify children's risk of experiencing maltreatment in the future. In the process, however, they also identify families who may well benefit from support but are not on a maltreatment trajectory — the so called ‘false positives’ who would not be among those families later identified as mistreating their children. (from the abstract) |
| 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 | |
| Topical term or geographic name as entry element | PREDICTIVE RISK MODELLING |
| 9 (RLIN) | 4928 |
| 650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | SOCIAL SERVICES |
| 9 (RLIN) | 555 |
| 651 #4 - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME | |
| Geographic name | NEW ZEALAND |
| 9 (RLIN) | 2588 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| 9 (RLIN) | 103 |
| Topical term or geographic name as entry element | CHILD ABUSE |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Connolly, Marie |
| 9 (RLIN) | 951 |
| 773 0# - HOST ITEM ENTRY | |
| Title | Children and Youth Services Review, 2014, 47(1): 86-91 |
| 830 ## - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | Children and Youth Services Review |
| 9 (RLIN) | 4699 |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="http://dx.doi.org/10.1016/j.childyouth.2014.07.016">http://dx.doi.org/10.1016/j.childyouth.2014.07.016</a> |
| Public note | Access the abstract |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Journal article |
No items available.