國立虎尾科技大學 |

Forecasting the Future : = How Social Mood Shapes America's Immigration Landscape.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Forecasting the Future :/
其他題名:	How Social Mood Shapes America's Immigration Landscape.
作者:	Sharma, Rohit C.
面頁冊數:	1 online resource (95 pages)
附註:	Source: Masters Abstracts International, Volume: 85-11.
Contained By:	Masters Abstracts International85-11.
標題:	History. -
電子資源:	click for full text (PQDT)
ISBN:	9798382346410

Forecasting the Future : = How Social Mood Shapes America's Immigration Landscape.
Sharma, Rohit C.

Forecasting the Future :How Social Mood Shapes America's Immigration Landscape. - 1 online resource (95 pages)

Source: Masters Abstracts International, Volume: 85-11.

Thesis (ALM)--Harvard University, 2024.

Includes bibliographical references

The relationship between social mood and immigration policy in the United States is investigated in this thesis, focusing on key legislation such as the Immigration Act of 1924 (Johnson-Reed Act), the Immigration Act of 1965, and the 2010 Arizona SB 1070. Central to this investigation is the creation of the "TrendFusion Forecaster," an analytical tool used to quantify social mood by combining key indicators from economic factors, demographics, and political climate, thereby shaping public sentiment towards potential immigration policy changes.The model's key findings reveal that the Immigration Act of 1924 scored 34, indicating a restrictive policy environment; the Immigration Act of 1965 scored 57, reflecting an open policy stance; and the 2010 Arizona SB 1070 scored 32, again suggesting restrictive conditions. This led to the following conclusion: scores above 50 favor the passage of open immigration policies, scores below 40 indicate a conducive environment for restrictive policies, and scores between 40 and 50 represent a middle ground.What makes this model novel is that it provides an innovative attempt at integrating a set of diverse social factors into one coherent forecasting tool, thereby moving the field of immigration policy analysis into new dimensions that provide nuanced insights into the complex interrelations of societal influences. The model's findings together with those based on traditional qualitative analysis afford detailed insights into how social mood influences immigration policymaking, in a major contribution to understanding the dynamics of U.S. immigration policy from historical times to the current day. The research is thus instrumental to enhancing knowledge about how immigration policy in the United States developed, hence providing a way for historians and policy makers to search the historical context of immigration in this country.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798382346410Subjects--Topical Terms:

669538
History.
Subjects--Index Terms:

Economic and political IndicatorsIndex Terms--Genre/Form:

554714
Electronic books.

Forecasting the Future : = How Social Mood Shapes America's Immigration Landscape.
LDR:03362ntm a22004217 4500 001 1150877
005 20241029122344.5
006 m o d
007 cr bn ---uuuuu
008 250605s2024 xx obm 000 0 eng d
020 $a 9798382346410
035 $a (MiAaPQ)AAI31147105
035 $a AAI31147105
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Sharma, Rohit C. $3 1477494
245 1 0 $a Forecasting the Future : $b How Social Mood Shapes America's Immigration Landscape.
264 0 $c 2024
300 $a 1 online resource (95 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Masters Abstracts International, Volume: 85-11.
500 $a Advisor: Hochschild, Jennifer.
502 $a Thesis (ALM)--Harvard University, 2024.
504 $a Includes bibliographical references
520 $a The relationship between social mood and immigration policy in the United States is investigated in this thesis, focusing on key legislation such as the Immigration Act of 1924 (Johnson-Reed Act), the Immigration Act of 1965, and the 2010 Arizona SB 1070. Central to this investigation is the creation of the "TrendFusion Forecaster," an analytical tool used to quantify social mood by combining key indicators from economic factors, demographics, and political climate, thereby shaping public sentiment towards potential immigration policy changes.The model's key findings reveal that the Immigration Act of 1924 scored 34, indicating a restrictive policy environment; the Immigration Act of 1965 scored 57, reflecting an open policy stance; and the 2010 Arizona SB 1070 scored 32, again suggesting restrictive conditions. This led to the following conclusion: scores above 50 favor the passage of open immigration policies, scores below 40 indicate a conducive environment for restrictive policies, and scores between 40 and 50 represent a middle ground.What makes this model novel is that it provides an innovative attempt at integrating a set of diverse social factors into one coherent forecasting tool, thereby moving the field of immigration policy analysis into new dimensions that provide nuanced insights into the complex interrelations of societal influences. The model's findings together with those based on traditional qualitative analysis afford detailed insights into how social mood influences immigration policymaking, in a major contribution to understanding the dynamics of U.S. immigration policy from historical times to the current day. The research is thus instrumental to enhancing knowledge about how immigration policy in the United States developed, hence providing a way for historians and policy makers to search the historical context of immigration in this country.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2024
538 $a Mode of access: World Wide Web
650 4 $a History. $3 669538
650 4 $a Political science. $3 558774
650 4 $a Public policy. $3 1002398
653 $a Economic and political Indicators
653 $a Immigration policy history
653 $a Legislative impact analysis
653 $a Predictive policy modeling
653 $a Social mood analysis
653 $a TrendFusion Forecaster
655 7 $a Electronic books. $2 local $3 554714
690 $a 0578
690 $a 0630
690 $a 0501
690 $a 0615
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a Harvard University. $b Extension Studies. $3 1372761
773 0 $t Masters Abstracts International $g 85-11.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31147105 $z click for full text (PQDT)