Suchergebnisse

Preface: positionality, method, and the Haitian vocabulary of color -- Introduction: privilege in Haiti and the Caribbean's modernity -- Historical context: class, race, and nation -- Snapshot of a western place: modern and racialized, unequal and moral -- Noirisme and the political instrumentality of Blackness -- Class and black-nationalist sociality -- Mulatto, prejudice, and other white tidemarks of the nation -- Unity in colorism and class ideologies -- Material unity in privilege -- The political economy of knowing white -- Liberal politics in a failure of hermeneutics--Yon Travay Jigantès.

En travaillant dur, chacun peut devenir riche ; Les riches consomment et investissent ; Les riches créent des emplois ; Plus il y a de riches et moins il y a de pauvres ; Les riches payent beaucoup d'impôts... Philippe Richard, docteur en économie, analyse ainsi une vingtaine d'idées reçues sur les plus fortunés et les inéga-lités sociales. En décortiquant les données économiques, l'auteur apporte des éléments factuels sur la doxa libérale. La réalité est que les plus fortunés consomment peu, ils investissent peu en France et ne créent aucun emploi, alors même que leur fortune progresse comme jamais. Au-delà de ce constat, l'auteur pose des questions cruciales pour le devenir de notre société : Est-ce une bonne chose qu'une minorité voit sa fortune exploser alors que la pauvreté et la précarité grandit ? Les riches représentent-ils une chance pour notre pays ou au contraire une menace pour l'équilibre de notre démocartie ? Notre société peut-elle survivre avec de telles inégalités ?

This study addresses the question of kin marriage in the Pays Bigouden Sud, an area situated in the western part of Finistère, France. Reconstitu tion of genealogies, analysis of church dispensations, and intensive fieldwork yield evidence of a time-based marriage pattern, which expresses itself in marriages between affines belonging to lines within kindreds and takes the form of re-linking (renchainement ) of lines. The consanguineous marriage rate is low and involves mainly remote kin. Though peasants in this area are not propertied, there is a pronounced social hierarchy, and between 1770 and 1860 the wealthiest peasants experience a high percentage of affinal marriages. This pattern endures for almost another century as a result not only of the presence of socio-economic hierarchy but also of the use of kindred as a pool for spouses. It is hypothesized that this affinial marriage pattern is to be found in other peasant societies, but that we lack the suitable data (extensive bilateral genealogies) to identify it.

PurposeThe purpose of this paper is to present a case study of a hospital nursing unit that has evaluated and approved a two‐bin "e‐kanban" replenishment system based on passive high frequency radio‐frequency identification (RFID) technology.Design/methodology/approachThe case study analysis is based on both qualitative and quantitative data that were collected using semi‐structured interviews, on‐site observations and experience from previous implementations. The data and simulation analysis presented in this paper were validated by key respondents thereby increasing their reliability.FindingsResults indicate that implementing the e‐kanban RFID solution in conjunction with the redesign of the ward floor and of the roles and functions can substantially improve business and operational performance. The most important benefits for the hospital are derived from the time saved from non‐value‐added activities that can be transferred to patient care activities and the significant reduction of on‐hand inventory at distributed storage locations. The solution is considered an alternative that requires less initial investment than RFID‐enabled cabinets used in the replenishment of consignment and high‐value supplies in operating rooms and cardiac catheterization laboratories.Research limitations/implicationsThere is a need to conduct further research on RFID supply chain management (SCM) applications in the healthcare sector as this area holds a great potential for performance improvements. Additionally, there is a need to conduct more in‐depth research into the isolated impact of RFID technology in comparison to the change management and process redesign that it generates. One key limitation of this research is the case study approach based on a single case. This paper, therefore provides direction for practitioners on how to assess RFID's potential impact in the healthcare supply chain.Originality/valueWhile most of the research on RFID in healthcare sector focuses on active RFID technology for asset management, this research presents a novel RFID application and contributes to our understanding of RFID's potential in intra‐organizational SCM processes.

Environmental sustainability is nowadays a major global issue that requires efficient and effective responses from governments. Essential variables (EV) have emerged in different scientific communities as a means to characterize and follow environmental changes through a set of measurements required to support policy evidence. To help track these changes, our planet has been under continuous observation from satellites since 1972. Currently, petabytes of satellite Earth observation (EO) data are freely available. However, the full information potential of EO data has not been yet realized because many big data challenges and complexity barriers hinder their effective use. Consequently, facilitating the production of EVs using the wealth of satellite EO data can be beneficial for environmental monitoring systems. In response to this issue, a comprehensive list of EVs that can take advantage of consistent time-series satellite data has been derived. In addition, a set of use-cases, using an Earth Observation Data Cube (EODC) to process large volumes of satellite data, have been implemented to demonstrate the practical applicability of EODC to produce EVs. The proposed approach has been successfully tested showing that EODC can facilitate the production of EVs at different scales and benefiting from the spatial and temporal dimension of satellite EO data for enhanced environmental monitoring.