CLEA Study Group: Cognitive and Social Progress
Present members:
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Jan Bernheim
Schepenijlaan 18, 1180 Brussels, Belgium
Elyanne.VanHolle@UCB-Group.com
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Francis Heylighen
CLEA, Free
University of Brussels
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Ruut Veenhoven
Faculteit Sociale Wetenschappen
Erasmus Universiteit Rotterdam
Postbus 1738 , NL 3000 Dr Rotterdam
Nederland
Veenhoven@SOC.FSW.eur.nl
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Robert Scott Gassler
Vesalius College Vrije Universiteit Brussel
Pleinlaan 2 1050 Brussel, Belgium
Goals
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to study the relations between the on-going "cognitive revolution", as
exemplified by the worldwide increase in education levels and intelligence
of the population, and other measures of social progress,
such as increases in health, life-expectancy, wealth, quality of life,
peace, life-satisfaction, happiness, etc.
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to counter the claims of the relativists (who deny the objective existence
of progress) and the pessimists (who believe things are getting worse)
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thus, to develop a progressive world
view
The research project below, which was submitted by the study group to a
funding agency, proposes some more details about this approach. Further
background information about the general theme of progress can be found
in an excerpt from a book being prepared
by F. Heylighen
Progress in global quality of life and its indicators: an interdisciplinary
approach
1. Aim
On the basis of their earlier research in different disciplines, the promoters
of the project have reached the conclusion that the quality of life (QOL)
of the world population appears to increase together with the increasing
development. The present project wishes to investigate: 1) whether this
is effectively true, 2) which are the underlying causes of this development
and, 3) in how far the contributing factors can be represented quantitatively
in a multi-factorial model.
2. Objectives
The concept of "progress", as posited by the 18th century Enlightenment,
has recently been questioned. On the one hand, the philosophy of postmodernism
has emphasised the relativity of good and evil, and therefore the relativity
of progress. On the other hand, the new phenomenon of unrelenting information
about negative developments, such as pollution, unemployment, war and corruption,
has reduced people's confidence in the future. An erosion of our belief
in progress may be dangerous because it may lead to stagnation, conservatism
and particularism. It manifests itself as a widespread culture pessimism
and a feeling of hopelessness.
Yet, when we look at the world as a whole, it turns out that variables
such as life expectancy, wealth, and education level show a consistently
positive evolution (Simon, 1995). The same applies for combined indicators,
such as the "Human Development Index" (UNDP, 1996), the "Physical Quality
of Life Index", or the "International Index of Social Progress" (Estes,
1984).
One must ask the question whether such indicators represent global progress,
rather than an arbitrary or ideologically biased selection of factors,
which are not representative for what people really experience as important.
For example, in how far is increase in GNP to be considered as progress,
if it is accompanied by increase in pollution and resource exhaustion?
The basic question concerns values: what is to be considered as good and
what as evil? The answer to this question is intrinsically subjective,
and apparently it cannot be derived from objective facts. Therefore, we
propose to use the appreciation by the subjects themselves as a yardstick,
and define progress operationally as increase in the subjectively experienced,
global quality of life (QOL) (Bernheim, 1995).
The project wishes to: 1) investigate in how far progress, defined as
such, has taken place for the world population over the last decades; 2)
identify the main components of this progress, together with the domains
where there has been no progress or even regression; 3) on the basis of
these data and an evolutionary framework, try to understand the causes
and mechanisms of this development.
3. Design and methodology
Decades of research (Veenhoven, 1995) have shown that the subjective appreciation
of life can be measured in a relatively valid and reliable way. Various
methods for assessing in how far people are "happy" or "satisfied" with
their life turn out to produce largely similar results. The simplest method
consists in asking a subject to score his or life on a scale which goes
from "best possible" to "worst possible". Such techniques can be further
refined by using the ACSA (Anamnestic Comparative Self-Assessment) method
developed by us (Bernheim & Buyse, 1984), where the scale goes from
the best to the worst personal experience. This avoids comparing one's
own life satisfaction with external standards.
In spite of the fact that QOL is intrinsically subjective and that every
measurement method has flaws, the results of such measurements appear unexpectedly
reliable, in the sense that they allow the prediction of objective properties
of the subject or the society. For example, subjective QOL turns out to
be significantly higher in societies that are economically and socially
more developed. The data from the "World Database of Happiness" have been
correlated with dozens of objective sociological, economical and psychological
variables (Veenhoven, 1994). Some of these variables (e.g. average purchasing
power, access to information, gender equality) appear to have a significant
correlation with QOL (R > 0,6; p < 0,05) , while others (e.g. unemployment
level, number of suicides, energy consumption) show little or no correlation
(Veenhoven, 1995, 1996). These differential correlations allow us to make
an empirically based selection of significant variables, which are less
vulnerable to the criticism of being arbitrary or ideologically biased.
The project will try to establish in how far these selected factors
show progress for the world as a whole. In order to achieve that, we will
need to collect sufficient statistical data for each of the variables,
over the period of (at least) the last 50 years, and this for a representative
group of countries. For part of this material, we can make use of the many
data gathered by the groups around Simon (1995) and Estes (1984). In addition,
we will consult the databases of various national and international organisations,
such as UNO, UNESCO, UNDP (1996), WHO, IMF, the World Bank, etc.
More fundamentally, we wish to infer a quantitative model of QOL, which
expresses subjective life appreciation as a combination of objective factors.
Such a model can be developed by applying multivariate analysis and logistic
regression to the different variables, with subjective QOL as the dependent
variable. This would allow us to determine the weights of the different
variables in the overall QOL. It will also be important to quantify the
remaining variation, which cannot be derived from objective factors. This
remaining variation will determine the relative contribution of factors
that are difficult to control or to measure objectively, such as culture,
mentality or climate.
In addition, we can use principal components factor analysis to derive
a general factor which explains a maximum of variation between different
countries or within the same country at different moments. On the basis
of our working hypothesis, we expect that this will produce a general "development
index", which is correlated with QOL. Such an index would allow us to measure
the "rate" of development for different countries, and therefore help us
to determine the circumstances (e.g. war, recession, innovation) which
tend to accelerate or slow down development. On the other hand, the differences
between the development index and the QOL dimension will help us to determine
the domains in which development deviates from QOL increase, and thus allow
us to test the theses of those who criticise the idea of progress on the
basis of our data.
In order to analyse the mechanisms and causes of observed progress we
wish to make use of a generalised theory of evolution, inspired by recent
development in the domains of non-linear systems, cognitive sciences and
self-organization. We distinguish three fundamental mechanisms: 1) natural
selection, because of which negative developments tend to be eventually
eliminated; 2) growth of knowledge, which allows the anticipation of positive
and negative effects. This would promote a planned progress, which is much
more efficient than the blind variation which normally provides the substrate
for natural selection; 3) positive feedback or synergy, where progress
in one domain (e.g. wealth or technology) creates resources and opens up
new possibilities for progress in another domain (e.g. education or health),
which in turn benefits the former domain. These evolutionary mechanisms
produce an increasing complexification of society (Heylighen & Campbell,
1995; Heylighen, 1998), characterised by increased efficiency, adaptiveness,
and control over the environment. The indicators of progress developed
by the project will allow us to better analyse the role of these and other
mechanism in specific cases.
Collaboration and co-ordination
The group around R. Veenhoven will focus on the analysis of the objective
factors that are correlated with QOL, the group around J. Bernheim on the
measurement of subjective QOL and on the role of the growth of knowledge
(the "cognitive revolution"), the group around R. S. Gassler on the economic
and political factors in the development process and the one around F.
Heylighen on the general mechanisms underlying progress. The project will
be co-ordinated by the study group "Progress" of the interdisciplinary
Centre Leo Apostel. This study group includes, besides the project promoters,
a number of other experts, representing the different disciplines in which
progress can be observed. The study group aims to publish the first results
of the project by the year 2000 with an international publisher, as a book
with contributions by the different participants. In addition, seminars
will be organised in which the preliminary results are put up for discussion.
References
Bernheim J., Buyse M. (1984). "Anamnestic Comparative Self Assessment (ACSA):
A method to measure the subjective quality of life of cancer patients".
J. Psychosoc. Oncol. 1, p. 25-38,
Bernheim J. (1995): "Quality of life, or qualities of life? A critique,
and a plea for emphasized global assessment of QOL", Quality of Life Research
3 , p. 155-156.
Estes R. (1984): The Social Progress of Nations. (New York: Praeger) .
Heylighen F. & Campbell D.T. (1995): ÒSelection of Organization
at the Social LevelÓ, World Futures: the Journal of General Evolution
45, p. 181-212.
Heylighen F. (1998): "The Growth of Structural and Functional Complexity
during Evolution", in: F. Heylighen & D. Aerts (eds.) (1998): "The
Evolution of Complexity" (Kluwer, Dordrecht) (ter perse).
Simon J. L. (ed.) (1995) The State of Humanity (Blackwell, Oxford, 1995).
United Nations Development Programme (1996): Human Development Report (Oxford
University Press, New York).
Veenhoven R. (1994) Correlates of Happiness: 7838 findings from 603 studies
in 69 nations 1911-1994 (3 volumes), RISBO, Series Studies in Social and
Cultural Transformation, Erasmus University Rotterdam, 2028 pages.
Veenhoven R. (1995): "Developments in Satisfaction Research", Social Indicators
Research 37, p. 1-46.
Veenhoven R. (1996): "Happy life-expectancy. A comprehensive measure of
quality-of-life in nations", Social Indicators Research, vol 39, p. 1-58.
Related Documents on the Web
-
General
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Julian
L. Simon's optimistic view of population and resources
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Julian
Simon's home page
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Writings
by Julian L. Simon Available on WWW
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Quality
of Life
-
World
Database of Happiness
-
IS
Quality of Life Studies
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John McCarthy's web site on Progress
and its sustainability
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World
Health Organization
-
IQ raise
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APA
Report on Intelligence
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Race,
Gene & IQ
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Development Trends
-
Calculation
of the Human Development Index
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Estonian
Human Development Index
-
Economic
& Social Indicators: World Tables
-
Progress
in Indicator Development
-
International
Index of Social Progress
-
Global
Report
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World
Development Report 1995
-
Growth
Project Home Page
-
R.J.
Estes' list of Social & Economic Development Resources
-
Numeric
Data for UN Information
-
World
Tables - Dataset Description Guide
-
Eldis
database on development
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UNDP
- Human Development Report Office