Trust,scepticism, and social order: A contribution from the sociology of scientific knowledge

The sociology of scientific knowledge (SSK), which studies the organisation and content of science, has made two original contributions to the understanding of social order at large. First, SSK scholars regard social order as a problem of establishing “cognitive order” and knowledge. A wealth of case studies has demonstrated that interpersonal trust is necessary to achieve agreement and shared perception among particular collectives of specialists. Second, SSK scholars insist that all types of cognitive order and knowledge, whether “scientific” or “lay,” are the result of socially organised scepticism being parasitic upon existing trust and background expectations (an argument that I call “the Parasitic View of Scepticism”). Sociologists with an interest in today's so‐called “knowledge” and “information” societies, and more specifically, in the social distribution and political uses of doubt and unknowns (including “post‐truth”), would benefit from adopting the Parasitic View of Scepticism and investigating the corrosive and generative consequences of scepticism on the trust relations and the cognitive/social order upon which it is based, in line with insights from the emerging fields of agnotology and the sociology of ignorance.     

Estimation of sex‐specific survival with uncertainty in sex assessment

In monomorphic species, determination of sex from behavior is prone to errors. The authors develop capture‐recapture survival models that account for uncertainty in the assessment of sex. They examine parameter redundancy for four basic models with constant or time‐dependent survival and encounter probabilities. They further develop a more refined and more appropriate model for an Audouin's gull data set where four distinct behavioral clues have been used. They examine how useful it is to incorporate the least reliable of the clues and the genetic determination of sex available for only a handful of individuals. They finally discuss the implications of their findings for the design of field studies.