Consolidación y fragmentación de la investigación de la comunicación en México, 1987-1997

Este artículo expone de una manera breve y general las conclusiones del trabajo de investigación sobre los procesos de estructuración del campo de la investigación académica de la comunicación en México de 1987 a 1997. El acercamiento empírico exploratorio de este trabajo supone el acopio y la sistematización de datos sobre la producción mexicana de conocimiento sobre la comunicación y sus condiciones contextuales; sobre sus productores, tanto individuales como institucionales; y sobre sus productos objetivos, especialmente las publicaciones académicas. A partir de los resultados del análisis de toda esta información, se construyó un modelo heurístico de las determinaciones socioculturales de la estructuración del campo desde la década de 1960 hasta la de 1990, que permite formular la "doble disyuntiva" que se enfrentó en los años noventa para alcanzar la legitimación académica y social

Stefano Ghidinelli, L’interazione poetica. Modi di socializzazione e forme della testualità della poesia italiana contemporanea

Recensiamo Ghidinelli, Stefano. L’interazione poetica. Modi e forme della testualità della poesia italiana contemporanea. Napoli: Guida Editori, 2013. Stampa

Analiticity of the Lyapunov exponent of perturbed toral automorphisms

We consider a dynamical system generated by a perturbation $A_\varepsilon$ of an analytic Anosov diffeomorphism $A_0$ of $\mathbb{T}^d$. We show that, if $A_0$ admit a decomposition of $\mathrm T\mathbb T^d$ in $k$ invariant subspaces, such a decomposition can be extended in an analytic way to $A_\varepsilon$. This implies that the Lyapunov exponents, if non degenerate, are analytic functions of the perturbation

Untangling sustainability reporting: theoretical approaches informing non-financial disclosure

This study analyses different theoretical frameworks used in the literature to explain corporate social and environmental sustainability (SES) reporting. A systematic literature review of 232 scientific articles published in top-tier journals was performed through bibliometric visualizations, quantitative statistics and narrative analyses. Results highlight that legitimacy, institutional, and stakeholder theories most commonly inform studies on SES reporting. Recent works also show the use of theoretical approaches less frequently employed in accounting and management that usually distinguish other research fields, such as sociology, psychology, and communication, highlighting crossfertilization among different research areas. This systematic literature review specifically focuses on the many theories related to SES reporting and offers an extensive overview of theoretical frameworks underpinning thirty years of studies on non-financial disclosure. Moreover, encourages scholars to engage with critical and emerging theories in the study of SES reporting following multidimensional and multidisciplinary perspectives

Extracting standard naval routes from AIS data: Insights from an In-Depth Analysis of the Arctic Region

This research contributes to the literature with a methodology for the extraction of standard naval routes from AIS data (data from international naval Automatic Identification System). A fundamental objective of our work is to sup- port environmental surveillance of maritime activities, including the detection of anomalous ship behavior and safe&rescue operations, both involving a need to define the expected behavior of ships in terms of standard routes. Previous re- search mostly focuses on the comparison of the performance of different statisti- cal and machine learning techniques. In our work, we draw from previous re- search the best performing ML approach (unsupervised) and we focus on the de- sign of an end-to-end data processing pipeline that combines ML techniques with data pre-processing rules and geographical information with the goal of making data usable. Our methodology has been tested on a 3-year time series of AIS data, with a focus on the Arctic region. Results show how standard routes can be ef- fectively extracted with good precision owing to the robust sequence of our meth- odological steps. Our algorithm has identified roughly 400 standard routes in the Arctic region, starting from a total of over 140 million AIS messages. Results show how working on data cleaning, accurately calculating distance among routes, and applying two phases of clustering on different sets of features are crucial for the dependability of results. Further work will be conducted in the ARCOS project to build a complete, longitudinal dataset of standard routes to be released as open data