Article: What do we really know about the drivers of undeclared work? An evaluation of the current state of affairs using machine learning.
2022 , Page(s) 1–20
Abstract: It is nowadays widely understood that undeclared work cannot be efficiently combated without a holistic view on the mechanisms underlying its existence. However, the question remains whether we possess all the pieces of ... ...
Abstract | It is nowadays widely understood that undeclared work cannot be efficiently combated without a holistic view on the mechanisms underlying its existence. However, the question remains whether we possess all the pieces of the |
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Language | English |
Publishing date | 2022-06-23 |
Publishing country | Germany |
Document type | Journal Article |
ZDB-ID | 1458413-X |
ISSN | 1435-5655 ; 0951-5666 |
ISSN (online) | 1435-5655 |
ISSN | 0951-5666 |
DOI | 10.1007/s00146-022-01490-3 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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