Scrutinizing an algorithmic technique: the Bayes classifier as interested reading of reality

ABSTRACT

This paper outlines the notion of ‘algorithmic technique’ as a middle ground between concrete, implemented algorithms and the broader study and theorization of software. Algorithmic techniques specify principles and methods for doing things in the medium of software and they thus constitute units of knowledge and expertise in the domain of software making. I suggest that algorithmic techniques are a suitable object of study for the humanities and social science since they capture the central technical principles behind actual software, but can generally be described in accessible language. To make my case, I focus on the field of information ordering and, first, discuss the wider historical trajectory of formal or ‘mechanical’ reasoning applied to matters of commerce and government before, second, moving to the investigation of a particular algorithmic technique, the Bayes classifier. This technique is explicated through a reading of the original work of M. E. Maron in the early 1960 and presented as a means to subject empirical, ‘datafied’ reality to an interested reading that confers meaning to each variable in relation to an operational goal. After a discussion of the Bayes classifier in relation to the question of power, the paper concludes by coming back to its initial motive and argues for increased attention to algorithmic techniques in the study of software.     

A new nonlinear asymmetric cointegration approach using error correction models

In this article, two new powerful tests for cointegration are proposed. The general idea is based on an intuitively appealing extension of the traditional, rather restrictive cointegration concept. In this article, we allow for a nonlinear, but most importantly a different, asymmetric convergence process to account for negative and positive changes in our cointegration approach. Using Monte Carlo simulations we verify, that the estimated size of the first test depends on the unknown value of a signal-to-noise ratio q. However, our second test—which is based on the original ideas of Kanioura and Turner—is more successful and robust in the sense that it works in all of the different evaluated situations. Furthermore it is shown to be more powerful than the traditional residual based Enders and Siklos method. The new optimal test is also applied in an empirical example in order to test for potential nonlinear asymmetric price transmission effects on the Swedish power market. We find that there is a higher propensity for power retailers to rapidly and systematically increase their retail electricity prices subsequent to increases in Nordpool's wholesale prices, than there is for them to reduce their prices subsequent to a drop in wholesale spot prices.     

VIF-based adaptive matrix perturbation method for heteroskedasticity-robust covariance estimators in the presence of multicollinearity

In this study, we investigate linear regression having both heteroskedasticity and collinearity problems. We discuss the properties related to the perturbation method. Important observations are summarized as theorems. We then prove the main result that states the heteroskedasticity-robust variances can be improved and that the resulting bias is minimized by using the matrix perturbation method. We analyze a practical example for validation of the method.     

Socio-demographic Differences in Self-reported Psychological Distress Among 25- to 64-Year-Old Finns

Background Mental health problems are a major public health issue worldwide. The aim of this study was to assess the relative importance of socio-demographic characteristics associated with different domains of psychological distress in Finland. Methods Data source was a nationwide survey “Health Behaviour and Health among the Finnish Adult Population” (AVTK), from years 2002 to 2003 (N = 5425; response rate 66%). Psychological distress was measured by self-reported questions of general mental health (MHI-5), depression, insomnia and stress. Socio-demographic factors included education, employment status, partnership and children living in the household. Main analyses were conducted by multivariate logistic regression. Results Education, employment and partnership were associated with most of the psychological distress outcomes. Respondents with a lower educational level had poor mental health in both genders but less insomnia and stress in men. Those with an intermediate education had the least stress in women. The unemployed and retired were at a higher risk for poor mental health and depression. Moreover, employment status was associated with insomnia and stress in men. Respondents not having a partner showed a higher risk of psychological distress according to all measures. Not having children living in the household was associated with insomnia in women and with less stress in men. Conclusions Socio-demographic factors, such as having a partner and employment status, are associated with several measures of psychological distress indicating the importance of social and economic factors to psychological well-being. The association of education and of having children living at home varies by the domain of psychological distress measure.     

Religion,Religiosity, and the Attitudes Toward Homosexuality—A Multilevel Analysis of 79 Countries

Although attitudes toward homosexuality have become more liberal, particularly in industrialized Western countries, there is still a great deal of variance in terms of worldwide levels of homonegativity. Using data from the two most recent waves of the World Values Survey (1999–2004, 2005–2009), this article seeks to explain this variance by means of a multilevel analysis of 79 countries. We include characteristics on the individual level, as age or gender, as well as aggregate variables linked to specificities of the nation-states. In particular, we focus on the religious denomination of a person and her religiosity to explain her attitude toward homosexuality. We find clear differences in levels of homonegativity among the followers of the individual religions.     

An Economic Approach to Achievement and Improvement Indexes

This study proposes a usefulalternative to the ``aggregate deprivationindex' which is used to measure the well-beingsof individuals in different countries orgeographic locations. Furthermore, we alsopropose an improvement index which alleviateswell known difficulties associated withovertime comparisons of ``aggregate deprivationindex'. While deriving our indexes, we pursuedan economic approach to index numbers theoryand relied on the assumptions of optimizingbehavior. The proposed achievement index hasits roots in the theory of quantity indexeswhose axiomatic properties are wellestablished. The roots of our improvement indexon the other hand, is well grounded in theproductivity growth literature. The study alsoprovides a numerical example.     

Residents’ Agency Makes a Difference in Volunteering in an Urban Neighbourhood

In this case study, we aimed to investigate residents’ agency through their participation in the development of their residential area in the city of Espoo, Finland. With the aid of seven themes, we identified by thematic analysis five types of residents in terms of agency: free floaters, home troops and helpers, representative information brokers, informed reviewers, and change agents. Relational agency, rooted from the cultural-historical activity theory, necessitated recognizing the available resources, understanding the motives of others, and collaborating in joint activities. The results of 30 interviews showed that residents are willing to participate, and they need space and structure to exploit their relational agency in order to build common interests in their neighbourhood. The findings are discussed with reference to the potential of residents’ agency while participating in neighbourhood governance and volunteering. Our study contributes to the understanding of residents’ relational agency in community development and in volunteering.     

Vice versus virtue investing around the world

This paper assumes the role of advocatus diaboli by testing whether an investment in sin stocks can financially outperform an investment in socially responsible stocks. We create a set of global, regional, and domestic portfolios consisting of a large number of stocks belonging to what could be labeled as a sextet of sin: adult entertainment, alcohol, gambling, nuclear power, tobacco, and weapons. We assess the performance of sin stocks against well-known benchmarks, and rerun the identical assessment for socially responsible stocks. We find no compelling evidence that sin stocks, or socially responsible stocks outperform or underperform, and establish this result in several ways. Consistent with this finding, a hedge portfolio long in sin stocks and short in socially responsible stocks does not outperform the market, either. However, sin stocks are substantially tilted towards value, bear less market risk with an average beta below one, and are prone to momentum relative to socially responsible stocks.     

An Assessment of Two Parenting Training Manuals Used in Swedish Parenting Interventions

In Sweden, all parents of children aged 0–18 years are entitled to attend free parenting courses as part of a national strategy presented by the Government in 2009. This broad parental support welfare strategy is expected to fulfil the intentions of the UN Convention on the Rights of the Child. In this study, two parenting training manuals were analysed: the Canadian Connect program, based on attachment theory, and the Swedish ABC program, based on social learning theory. The results indicate that the manuals use strategies that can both hinder and support children's rights, regardless of rhetoric of children's best interests.     

Urban and agricultural soils: conflicts and trade-offs in the optimization of ecosystem services

On-going human population growth and changing patterns of resource consumption are increasing global demand for ecosystem services, many of which are provided by soils. Some of these ecosystem services are linearly related to the surface area of pervious soil, whereas others show non-linear relationships, making ecosystem service optimization a complex task. As limited land availability creates conflicting demands among various types of land use, a central challenge is how to weigh these conflicting interests and how to achieve the best solutions possible from a perspective of sustainable societal development. These conflicting interests become most apparent in soils that are the most heavily used by humans for specific purposes: urban soils used for green spaces, housing, and other infrastructure and agricultural soils for producing food, fibres and biofuels. We argue that, despite their seemingly divergent uses of land, agricultural and urban soils share common features with regards to interactions between ecosystem services, and that the trade-offs associated with decision-making, while scale- and context-dependent, can be surprisingly similar between the two systems. We propose that the trade-offs within land use types and their soil-related ecosystems services are often disproportional, and quantifying these will enable ecologists and soil scientists to help policy makers optimizing management decisions when confronted with demands for multiple services under limited land availability.