Indicators of Labor Trafficking Among North Carolina Migrant Farmworkers, 2010-2012

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for...

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Bibliographic Details
Main Author: Lattimore, Pamela (Author)
Contributors: Barrick, Kelle (Contributor) ; Pitts, Wayne (Contributor) ; Zhang, Sheldon (Contributor)
Format: Electronic Research Data
Language:English
Published: [Erscheinungsort nicht ermittelbar] [Verlag nicht ermittelbar] 2016
In:Year: 2016
Online Access: Volltext (kostenfrei)
Check availability: HBZ Gateway
Keywords:

MARC

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520 |a These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed.The purpose of the study was to investigate potential correlates of labor trafficking in an effort to identify indicators of labor trafficking that could be used by state and local law enforcement as signals that labor trafficking may be taking place in their communities. Stakeholder interviews with individuals from organizations who serve migrant workers (n=24) were piloted in September 2010 with the larger data collection effort occurring between October 2011 and March 2012. In-person interviews were conducted with farmworkers (Farmworker Data, n=380) who may have been experiencing labor exploitation or trafficking. The field data collection activities began in September 2012. Interview data were collected at residential migrant labor camps, at community events, and in Western North Carolina, at integrated housing and locations frequented by farmworkers. Finally, researchers extracted secondary data from a number of sources to create profiles of each county (County Data, n=17) in which interviews were conducted. 
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