Toward two narratives of knowledge

This article states that the discipline of international relations has paid only scarce attention to the debates on knowledge that have taken place in neighboring disciplines. A notable exception is the epistemic community framework that amounts in this article to a first narrative of knowledge. By means of challenging this narrative of knowledge, the article suggests a second narrative of knowledge that is derived from literature in science and technology studies. This narrative is further illustrated through a discussion on the epistemic authority of the Forest Stewardship Council and the newly established Intergovernmental Platform on Biodiversity and Ecosystem Services.     

Asymptotic behavior of RA-estimates in autoregressive 2D processes

In this work we study the asymptotic behavior of a robust class of estimators of the coefficient of a AR-2D process. We establish the precise conditions for the consistency and asymptotic normality of the RA estimator. The AR-2D model has many applications in image modeling and statistical image processing, therefore the relevance of knowing such properties. The adequacy of the AR-2D model is analyzed with real images; we also show the impact of contamination and the capability of the RA estimator to produce useful results even in the presence of spurious data.     

Accuracy of edge detection methods with local information in speckled imagery

We compare the accuracy of five approaches for contour detection in speckled imagery. Some of these methods take advantage of the statistical properties of speckled data, and all of them employ active contours using B-spline curves. Images obtained with coherent illumination are affected by a noise called speckle, which is inherent to the imaging process. These data have been statistically modeled by a multiplicative model using the G0 distribution, under which regions with different degrees of roughness can be characterized by the value of a parameter. We use this information to find boundaries between regions with different textures. We propose and compare five strategies for boundary detection: three based on the data (maximum discontinuity on raw data, fractal dimension and maximum likelihood) and two based on estimates of the roughness parameter (maximum discontinuity and anisotropic smoothed roughness estimates). In order to compare these strategies, a Monte Carlo experience was performed to assess the accuracy of fitting a curve to a region. The probability of finding the correct edge with less than a specified error is estimated and used to compare the techniques. The two best procedures are then compared in terms of their computational cost and, finally, we show that the maximum likelihood approach on the raw data using the G0 law is the best technique.     

A maximal domain of preferences for strategy-proof,efficient, and simple rules in the division problem

The division problem consists of allocating an amount M of a perfectly divisible good among a group of n agents. Sprumont (1991) showed that if agents have single-peaked preferences over their shares, the uniform rule is the unique strategy-proof, efficient, and anonymous rule. Ching and Serizawa (1998) extended this result by showing that the set of single-plateaued preferences is the largest domain, for all possible values of M, admitting a rule (the extended uniform rule) satisfying strategy-proofness, efficiency and symmetry. We identify, for each M and n, a maximal domain of preferences under which the extended uniform rule also satisfies the properties of strategy-proofness, efficiency, tops-onlyness, and continuity. These domains (called partially single-plateaued) are strictly larger than the set of single-plateaued preferences. However, their intersection, when M varies from zero to infinity, coincides with the set of single-plateaued preferences.An earlier version of this paper circulated under the title A maximal domain of preferences for tops-only rules in the division problem. We are grateful to an associate editor of this journal for comments that helped to improve the presentation of the paper and to Matt Jackson for suggesting us the interest of identifying a maximal domain of preferences for tops-only rules. We are also grateful to Dolors Berga, Flip Klijn, Howard Petith, and a referee for helpful comments. The work of Alejandro Neme is partially supported by Research Grant 319502 from the Universidad Nacional de San Luis. The work of Jordi Massó is partially supported by Research Grants BEC2002-02130 from the Spanish Ministerio de Ciencia y Tecnología and 2001SGR-00162 from the Generalitat de Catalunya, and by the Barcelona Economics Program of CREA from the Generalitat de Catalunya. The paper was partially written while Alejandro Neme was visiting the UAB unde r a sabbatical fellowship from the Generalitat de Catalunya.     

Identification of average marginal effects under misspecification when covariates are normal

A previously known result in the econometrics literature is that when covariates of an underlying data generating process are jointly normally distributed, estimates from a nonlinear model that is misspecified as linear can be interpreted as average marginal effects. This has been shown for models with exogenous covariates and separability between covariates and errors. In this paper, we extend this identification result to a variety of more general cases, in particular for combinations of separable and nonseparable models under both exogeneity and endogeneity. So long as the underlying model belongs to one of these large classes of data generating processes, our results show that nothing else must be known about the true DGP—beyond normality of observable data, a testable assumption—in order for linear estimators to be interpretable as average marginal effects. We use simulation to explore the performance of these estimators using a misspecified linear model and show they perform well when the data are normal but can perform poorly when this is not the case.     

Exploring dialogic strategies in social media for fostering citizens’ interactions with Latin American local governments

Although the benefits of social media for enhancing citizens’ interactions with their local governments are well known in a more global context, few studies have focused on Latin America, or on the MERCOSUR countries in particular. This paper examines the use of dialogic strategies in the social media activities of local governments in MERCOSUR countries in order to generate citizens’ online engagement. Analysis of this question enhances our understanding of the use of social media by local governments in less developed countries and highlights the need for empirical evidence on the use of dialogic communication theory regarding stakeholder engagement with social media. The findings obtained reflect the positive influence of dialogic strategies on citizens’ online engagement, particularly those based on dialogic loop, useful information and generation of return visits, aimed at fostering participation via social media.     

Factors in educational exclusion: including the voice of the youth

The processes of educational exclusion are multiple and diverse. Research has shown that exclusion from school goes far beyond access. It is associated with crucial issues related to educational processes (belonging, recognition or representation) and results (knowledge or certificates). The objective of this article is to delve into the analysis of factors in educational exclusion, including the voice of the youth, as a key element in understanding these factors. The article begins with a literature review addressing the meaning, mechanisms and profiles of educational exclusion. It then presents qualitative fieldwork, consisting of six focus groups of young people (aged 14–24) who have been excluded from mainstream educational institutions in Barcelona, Spain. The results of the empirical analysis point to four critical elements in the process of educational exclusion as experienced by the youth: educational transitions; the role of teachers; the impact of grouping practices and disciplinary mechanisms; and the contrast between mainstream educational institutions and alternative learning arenas. By including the voice of the youth, the article provides a better understanding of the factors contributing to educational exclusion so as to advance in the construction of an educational system able to guarantee students’ right to learn and succeed in school.     

What is the right way to protest? On the process of justification of protest,and its relationship to the propensity to participate in different types of protest

This study explores how citizens in Spain perceive different tactics employed in anti-austerity protests in 2011–2013, and tests the model of the process of justification of protest. This model combines the elements of Gamson’s collective action frames theory (effectiveness, anger and grievances, operationalized as appraisal of harm) with the concept of legitimacy. It also links justification to the intention to participate. We empirically differentiate between three protest tactics: normative demonstrations, non-normative peaceful strategies, and non-normative violent actions. We find that demonstrations are perceived to be more legitimate, but less effective than non-normative peaceful protests. Violent strategies, on the other hand, are seen to be more effective than legitimate. We postulate and find that legitimacy and effectiveness partially or fully mediate the impact of political ideology, anger, and appraisal of harm on the probability of participation in non-normative protest. Finally, we establish meaningful differences in the predictors of the likelihood of joining normative, non-normative peaceful, or non-normative violent protests. Overall, our results suggest that the study of justification of collective action and especially, the inclusion of the notion of legitimacy, enriches our understanding of the popular approval of and propensity to participate in different forms of collective protest.