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Cliophysics: socio-political reliability theory, polity duration and African political (in)stabilities.

ABSTRACT: Quantification of historical sociological processes have recently gained attention among theoreticians in the effort of providing a solid theoretical understanding of the behaviors and regularities present in socio-political dynamics. Here we present a reliability theory of polity processes with emphases on individual political dynamics of African countries. We found that the structural properties of polity failure rates successfully capture the risk of political vulnerability and instabilities in which , , , and of the countries with monotonically increasing, unimodal, U-shaped and monotonically decreasing polity failure rates, respectively, have high level of state fragility indices. The quasi-U-shape relationship between average polity duration and regime types corroborates historical precedents and explains the stability of the autocracies and democracies.

SUBMITTER: Cherif A

PROVIDER: S-EPMC3012063 | biostudies-literature | 2010

REPOSITORIES: biostudies-literature

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Cliophysics: socio-political reliability theory, polity duration and African political (in)stabilities.

Cherif Alhaji A Barley Kamal K

PloS one 20101229 12

Quantification of historical sociological processes have recently gained attention among theoreticians in the effort of providing a solid theoretical understanding of the behaviors and regularities present in socio-political dynamics. Here we present a reliability theory of polity processes with emphases on individual political dynamics of African countries. We found that the structural properties of polity failure rates successfully capture the risk of political vulnerability and instabilities ...[more]

PMID: 21206911

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Project description:BackgroundThe social unrest in the second half of 2019 in Hong Kong came with conflicts, confrontations, and violence which affected almost everyone in the city. The destruction and disruption of the urban facilities have undoubtedly had a significant impact on the lives and mental well-being of the public, and the older people are even more vulnerable. This study examined the impacts of the social unrest on the wellbeing of older people, an area that was seldomly addressed in the public discourse and literature.MethodsNarrative interviews were conducted to capture older people's lived experiences and ways of making sense of the unrest in Hong Kong. A total of 63 participants aged 60 and above was recruited through personal networks of the research team, and referrals by participants who took part in the interviews. Qualitative semi-structure interviews was conducted one on one via telephone.ResultsThirty-three male and 30 female participants took part in the interview. The number of participants from different risk zones affected by political unrest was comparable. Three themes were generated. Participants experienced challenges during the social unrest, including disturbance to family and social life, reduced incomes which affect quality of life, and difficulties in socializing with friends and accessing medical services. The social unrest caused emotional disturbance, giving rise to feelings of panic, fear, insomnia, depression, annoyance, and anger. Participants reported different coping strategies, ranging from moving to other places, to avoiding going to risky areas and watching news.ConclusionSocial unrest brings emotional distress to older people. In many cases, older people cope with challenges in different ways, whether active or passive. Social workers and other professionals should give more support to older people to encourage them to overcome their difficulties. The stakeholders' awareness of the problem and mental health promotion is required to alleviate the multiple layers of negative impacts.

Dataset Information

Cliophysics: socio-political reliability theory, polity duration and African political (in)stabilities.

Publications

Cliophysics: socio-political reliability theory, polity duration and African political (in)stabilities.

Similar Datasets

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