Stability of Spatial Risk Integration in the Long Term
Abstract.
Purpose: to demonstrate that a viable scientific paper can be
written without the need for any meaningful intellectual input whatsoever.
Methodology: one hundred common social science terms were placed in
alphabetical order and numbered consecutively. Random number sequences were
used to reorder them. New prose was written in order to join up the terms into
comprehensible sentences.
Results: a readable and apparently profound scientific paper
was written that appears to throw light onto obscure areas of social science
thinking and produces the comfortable illusion that useful work has been done.
Key words: Nonsense, Twaddle, Random numbers, Jargon, Social
science terminology, Academic blather.
It has long been recognised that stability is one of
the key factors in spatial risk integration in the long term. The development
of a methodology of prediction allows a scientific approach to the
identification of cycles that enable the system to be characterised in terms of
information that will provide a technocratic perspective on indicators of civil
phenomena. The adoption of a hierarchical set of objectives enables release
factors to be identified for instances in which the flux of information is
subject to degradation of flows.
Advanced methods allow a trade-off that facilitates
coping with dynamic feedback. Optimal multidimensional parameters create
conditions for innovation that can be applied to infrastructure and that permit
regionalisation to be accomplished. This can be followed by a process of
recombination. Guidance for this must take full account of post-modern
fragility associated with the hazards in question. Participatory tools
available to carry out these tasks require adaptation to the impact of
different trajectories.
The scenarios associated with susceptibility
necessitate a formulation that involves monitoring hazardous elements. Their
management requires a degree of transformable capacity which must take account
of factors that include sustainable non-linear domains. This requires
considerable awareness of the situations involved, which in turn necessitates
review of dose relationships. The social assessment of communities can be
accomplished by using a toolbox of institutional attributes subject to
implementation as a data base that highlights dependent linkages in the
analysis of case-studies.
Societal elements include multiple resilience factors
that emphasise the transitions involved in learning from exposure to
scale-dependent domains. However, a cutting-edge approach requires variable
linkages with a selection of different partners, whose inertia is a function of
error curves that different actors regard in terms of thresholds between threat
and strategy. Scaling the policy response leads to a state of hysteresis that
is exacerbated, moreover, by perturbations in society.
The normative assumption for different regimes allows
an option to be considered for stakeholder involvement in antecedent events of
a magnitude and complexity that are critical to processes of governance.
Normalisation of these processes enables one to focus on vulnerability and thus
widen the panorama of different objective assessments that are available to
stakeholders.
