1,721,136 research outputs found
Climate-driven vulnerability and risk perception: implications for climate change adaptation in rural Mexico
Climate change is a major issue for rural communities in developing countries; thus, a better understanding of climate-related vulnerability and risk beliefs to unlock adaptation actions is necessary. By focusing on the rural communities located in the Mexican lagoon system of El Carmen, El Pajonal and La Machona, we first investigate different sources of vulnerability (exposure, sensitivity and adaptive capacity) and derive an aggregated vulnerability index integrating all the information. Hence, we link the different vulnerability sources—on top of additional cognitive and experiential elements—with climate-related individual risk perceptions. On the one hand, results identify the municipalities and communities most endangered and reveal the existence of levels of vulnerability along the lagoon deserving prioritization and action. On the other hand, a relationship between greater vulnerability and higher perception of risk applies. While exposure, sensitivity and cognitive components are found to shape climate-related risk perception, adaptive capacity and experiential factors appear to have no statistically significant influence
A SOA statistical engine for biomedical data
Currently, large efforts are spent to develop standards and architectures useful to achieve
more effective interoperability among medical information systems. Despite such efforts,
there are no researches produced so far to directly analyse, with statistical methods, biomedical
data represented as eXtensible Markup Language (XML) documents. Thus, the paper
proposes an architecture which offers a twofold approach to the statistical analysis of XML
data, i.e. via a web service and by extending the query languages used in XML databases. To
show how the architecture can be used, a sample system is also reported. Finally, the paper
ends by reporting the advantages and drawbacks of the proposed approach in comparison
with classic statistical packages
The effect of fair trade affiliation on child schooling: evidence from a sample of Chilean honey producers
We evaluate the impact of Fair Trade (FT) affiliation on child schooling within a sample of Chilean honey producers with a retrospective panel data approach. From a theoretical point of view, we argue that FT should have a positive effect on child schooling since it generates a short-run pure income effect together with a medium-run productivity effect on both adult and child wages. On the other hand, because of the higher productivity generated by the medium-run effect, the opportunity cost of child education increases if they work with their parents. The direction of the impact of FT affiliation on child schooling is therefore uncertain and requires empirical testing. Our econometric findings document a positive and significant impact of affiliation years on child schooling after controlling for endogeneity and heterogeneity between the treatment and control sample
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Analisi delle criticità e razionalizzazione delle decisioni nella lavorazione del vetro: il caso Pilkington
When fair trade generates social capital by creating room for manoeuvre for pro-poor policies
We evaluate the impact of Fair Trade (FT) affiliation on child schooling within a sample
of Chilean honey producers with a retrospective panel data approach. From a theoretical
point of view, we argue that FT should have a positive effect on child schooling since it
generates a short-run pure income effect together with a medium-run productivity effect
on both adult and child wages. On the other hand, because of the higher productivity
generated by the medium-run effect, the opportunity cost of child education increases if
they work with their parents. The direction of the impact of FT affiliation on child
schooling is therefore uncertain and requires empirical testing. Our econometric findings
document a positive and significant impact of affiliation years on child schooling after
controlling for endogeneity and heterogeneity between the treatment and control sample
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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