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Bargaining theorists have had a long-standing interest in understanding the relationship between the tangible and intangible aspects of concession-making—what Pruitt (1971) has described as the risks of "position loss" and "image loss," respectively. In order to evaluate the precise relationship between position loss and image loss, two questionnaire studies were conducted. In Experiment I, bargainers read a cover story describing a dyadic bar gaining episode and were asked to take the role of one of the disputants; they were then to rate the "image" associated with each of a series of offers, and the monetary concession values associated with a set of possible bargainer appearances in a within-subjects design. Experiment II was identical to the first study in all respects, except that only one offer and one bargaining appearance were rated in a between-subjects design. Subjects were found to discriminate better among various bargainer appearances in Experiment I than in Experiment II. In addition, an exponential relationship was found between image loss and position loss in Experiment I, while an ogive was obtained in Experiment II. Implications of the points of similarity and divergence in the results of the two studies are discussed.

AbstractThis article develops the idea of slow loss as a relationship to time, space, and feeling that Black feminist theory has described in distinctive ways, helping readers to consider both Black female subjectivity and the stakes of Black feminist theory anew. This article travels with the central and undertheorized place of slow loss in the Black feminist theoretical archive at least in part because of a desire to emphasize Black feminist theory's long-standing investment in understanding and describing the subject position of Black woman.

Projections suggest that by 2050 global food production will need to have increased by 70% to meet food demands associated with the world's population growth. Such forecasts, alongside growing awareness of the socio-ecological costs of food loss, and political ramifications of food crises have seen postharvest loss (PHL) reduction reappearing as a development priority. Particularly so in sub-Saharan Africa, a region deemed highly vulnerable to the impacts of climate change, where 307 million people are already affected by severe food insecurity, and the population is projected to double by 2050. Targets for reduced PHL are emphasised in the African Union's Malabo Declaration and Sustainable Development Goal 12.3. However, crop postharvest systems are complex and losses occur in various ways at different activity stages and due to a host of diverse reasons. To better target and prioritise loss reduction investments and policies we need to understand how much food is being lost postharvest, where, and why. The African Postharvest Losses Information Systems (APHLIS), brought a rigorous knowledge management approach to cereal PHLs. We are now expanding this to include key legume and other crops and estimates of the nutritional and financial values of these losses. The scientific literature was screened to build profiles of the PHLs occurring along the value chains, and combined with contextual information, to provide science-based estimates of PHLs where direct measurements are not available. We discuss these legume PHL profiles and the related opportunities and knowledge gaps. ; Projections suggest that by 2050 global food production will need to have increased by 70% to meet food demands associated with the world's population growth. Such forecasts, alongside growing awareness of the socio-ecological costs of food loss, and political ramifications of food crises have seen postharvest loss (PHL) reduction reappearing as a development priority. Particularly so in sub-Saharan Africa, a region deemed highly vulnerable to the impacts of climate change, where 307 million people are already affected by severe food insecurity, and the population is projected to double by 2050. Targets for reduced PHL are emphasised in the African Union's Malabo Declaration and Sustainable Development Goal 12.3. However, crop postharvest systems are complex and losses occur in various ways at different activity stages and due to a host of diverse reasons. To better target and prioritise loss reduction investments and policies we need to understand how much food is being lost postharvest, where, and why. The African Postharvest Losses Information Systems (APHLIS), brought a rigorous knowledge management approach to cereal PHLs. We are now expanding this to include key legume and other crops and estimates of the nutritional and financial values of these losses. The scientific literature was screened to build profiles of the PHLs occurring along the value chains, and combined with contextual information, to provide science-based estimates of PHLs where direct measurements are not available. We discuss these legume PHL profiles and the related opportunities and knowledge gaps.