Minimal but meaningful: Probing the limits of randomly assigned social identities

The Impact of Social Ties on Group Interactions: Evidence from Minimal Groups and Randomly Assigned Real Groups

Teams, departments, communities, etc., are very prevalent in organizations and society. Membership in those groups may affect the willingness of members to engage in prosocial behaviors like altruistic cooperation, or norm enforcement, which enhance efficiency but involve no personal material reward (e.g., Akerlof and Kranton 2000, 2005). Group boundaries might impact prosocial behavior through...

Randomly coupled minimal models

Using 1-loop renormalisation group equations, we analyze the effect of randomness on multi-critical unitary minimal conformal models. We study the case of two randomly coupled M p models and found that they flow in two decoupled M p−1 models, in the infra-red limit. This result is then extend to the case with M randomly coupled M p models, which will flow toward M decoupled M p−1 .

Effects of Juvenile Incarceration: Evidence from Randomly-Assigned Judges

Approximately 100,000 youths are currently incarcerated in the US, yet little is known whether such a penalty deters future crime or interrupts human capital formation in a way that increases the likelihood of later criminal behavior. This paper uses the incarceration tendency of randomly-assigned judges as an instrumental variable to estimate causal effects of juvenile incarceration on adult r...

Probing the Limits of Representation

Extreme Learning Machine with Randomly Assigned RBF Kernels

A new learning algorithm called extreme learning machine (ELM) has recently been proposed for single-hidden layer feedforward neural networks (SLFNs) with additive neurons to easily achieve good generalization performance at extremely fast learning speed. ELM randomly chooses the input weights and analytically determines the output weights of SLFNs. It is proved in theory that ELM can be extend...