Rhetorical visions of committed voters: Fantasy theme analysis of a large sample survey

1984 ◽  
Vol 1 (3) ◽  
pp. 287-310 ◽  
Author(s):  
Ernest G. Bormann ◽  
Becky Swanson Kroll ◽  
Kathleen Watters ◽  
Douglas Mcfarland
2021 ◽  
Vol 3 (3) ◽  
pp. 50-54
Author(s):  
Yanan Wu

At the end of March 2021, some international brands and international organizations boycotted Xinjiang cotton and related products in their commercial activities, which aroused great indignation among people from all walks of life in China, and people had come forward to stand up for Xinjiang as well as Xinjiang cotton. This paper lays emphasis on the response of Chinese people to the Xinjiang cotton incident and commits to analyze what and how the fantasy themes are able to achieve with regards to the creation of rhetorical visions within contexts of symbolic convergence theory.


2012 ◽  
Vol 3 (2) ◽  
pp. 197-212
Author(s):  
Amanda Hinnant ◽  
Elizabeth Hendrickson

2019 ◽  
Vol 1378 ◽  
pp. 032085
Author(s):  
Tayo-Adigboluja Afolayan ◽  
Okorie Nelson ◽  
Oredola Opeyemi ◽  
Ada Peter

Media Watch ◽  
2020 ◽  
Vol 11 (1) ◽  
Author(s):  
OREDOLA OPEYEMI ◽  
OYESOMI KEHINDE ◽  
TAYO-ADIGBOLUJA AFOLAYAN ◽  
CHINEDU-ASOGWA NKECHI

2011 ◽  
Vol 208 ◽  
pp. 870-892 ◽  
Author(s):  
Linda Wong

AbstractDagong 打工 as a way of life gives rise to many abuses and rights violations against China's 200 million migrant workers. This article analyses the intricate issues of rights deprivation, rights consciousness and personal strategies of Chinese migrant workers with the research findings from a large sample survey completed at the end of 2005. The data confirm the occurrence of many types of rights abuses, significant levels of rights consciousness, and preference for legal and institutionalized means for rights defence besides the use of private resources. Furthermore, the findings reveal that the experience of discrimination, consciousness of rights and choice of personal strategies are affected by personal backgrounds like age, gender, education and occupational status before migration, which carry implications for policy. Finally, the article comments on the ongoing debate about “rights consciousness” versus “rules consciousness” in contentious Chinese politics.


Author(s):  
W. Thomas Walker ◽  
Scott H. Brady ◽  
Charles Taylor

The travel simulation models for many metropolitan areas were originally developed and calibrated with older large-sample travel surveys that can no longer be undertaken given today’s funding constraints. Small-sample travel surveys have been collected as part of model update activities required by the Intermodal Surface Transportation Efficiency Act and the Clean Air Act Amendments. Although providing useful information, these surveys are inadequate for calibrating elaborate simulation models by traditional techniques. Parameter transfer scaling based on small-sample surveys and other secondary source data can be a cost-effective alternative to large-sample surveys when existing models are being updated, particularly when the models tend to be robust and the required changes are relatively small. The use of parameter scaling methods to update the Delaware Valley Planning Commission’s existing travel simulation models is demonstrated. All available sources of data are incorporated into the update process including current survey data, census work trips from the Census Transportation Planning Package (CTPP), transit ridership checks, highway screenline counts, and Highway Performance Monitoring System travel estimates. A synopsis of experience with parameter scaling techniques including the model changes and resulting accuracy is provided. Overall, small-sample-based parameter scaling techniques were judged to be effective. The census CTPP data were evaluated versus the home interview and were found to be useful in the model recalibration effort as a source of small-area employment data by place of work and as a supplement to home interview data for model validation. However, a home interview survey is required as the primary source of travel data for both work and nonwork trips.


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