The Soviet Union and strategic missile guidance
In: International security, Band 13, Heft 2, S. 5-54
ISSN: 0162-2889
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In: International security, Band 13, Heft 2, S. 5-54
ISSN: 0162-2889
World Affairs Online
In: International Security, Band 13, Heft 2, S. 5
In: Bulletin of the atomic scientists, Band 42, Heft 6, S. 11-16
ISSN: 1938-3282
In: The bulletin of the atomic scientists: a magazine of science and public affairs, Band 42, Heft 6, S. 11-16
ISSN: 0096-3402, 0096-5243, 0742-3829
World Affairs Online
In: Sociology: the journal of the British Sociological Association, Band 18, Heft 4, S. 598-599
ISSN: 1469-8684
In: New left review: NLR, Heft 148, S. 31-56
ISSN: 0028-6060
World Affairs Online
In: New left review: NLR, S. 31-56
ISSN: 0028-6060
Partial contents: The evolution of nuclear strategy; Out of the archives of the war planners; First strike and the SIOP [Single Integrated Operational Plan]; Nuclear war planning in other countries; Have nuclear weapons kept the peace?
In: Capital & class, Band 7, Heft 1, S. 33-73
ISSN: 2041-0980
This article argues that we should not explain militarism only economically, nor see it as having merely an 'internal' logic. The state and the international system of states are centrally important in militarism. We urgently need further work on militarism and gender, on militarism as culture and on the socialist use of armed forces.
In: Capital & class, Band 5, Heft 2, S. 47-60
ISSN: 2041-0980
In: The history of cicilization
In: Crisis: the journal of crisis intervention and suicide prevention, Band 34, Heft 6, S. 434-437
ISSN: 2151-2396
Background: Suicide clusters at Cornell University and the Massachusetts Institute of Technology (MIT) prompted popular and expert speculation of suicide contagion. However, some clustering is to be expected in any random process. Aim: This work tested whether suicide clusters at these two universities differed significantly from those expected under a homogeneous Poisson process, in which suicides occur randomly and independently of one another. Method: Suicide dates were collected for MIT and Cornell for 1990–2012. The Anderson-Darling statistic was used to test the goodness-of-fit of the intervals between suicides to distribution expected under the Poisson process. Results: Suicides at MIT were consistent with the homogeneous Poisson process, while those at Cornell showed clustering inconsistent with such a process (p = .05). Conclusions: The Anderson-Darling test provides a statistically powerful means to identify suicide clustering in small samples. Practitioners can use this method to test for clustering in relevant communities. The difference in clustering behavior between the two institutions suggests that more institutions should be studied to determine the prevalence of suicide clustering in universities and its causes.
In: The American review of public administration: ARPA, Band 1, Heft 1, S. 72-72
ISSN: 1552-3357
In: The New Carbon Economy, S. 107-133