Social comparison in the workplace: evidence from a field experiment

We conducted a randomized field experiment to examine how workers respond to wage cuts, and whether their response depends on the wages paid to coworkers. Workers were assigned to teams of two, performed identical individual tasks, and received the same performance‐independent hourly wage. Cutting both team members’ wages caused a substantial decrease in performance. When only one team member’s wage was cut, the performance decrease for the workers who received the cut was more than twice as large as the individual performance decrease when both workers’ wages were cut. This finding indicates that social comparison processes among workers affect effort provision because the only difference between the two wage cut conditions is the other team member’s wage level. In contrast, workers whose wage was not cut but who witnessed their team member’s pay being cut displayed no change in performance relative to the baseline treatment in which both workers’ wages remained unchanged, indicating that social comparison exerts asymmetric effects on effort.Compensation, fairness, field experiment, social comparison

Eyes are on us, but nobody cares: are eye cues relevant for strong reciprocity?

Strong reciprocity is characterized by the willingness to altruistically reward cooperative acts and to altruistically punish norm-violating, defecting behaviours. Recent evidence suggests that subtle reputation cues, such as eyes staring at subjects during their choices, may enhance prosocial behaviour. Thus, in principle, strong reciprocity could also be affected by eye cues. We investigate the impact of eye cues on trustees' altruistic behaviour in a trust game and find zero effect. Neither the subjects who are classified as prosocial nor the subjects who are classified as selfish respond to these cues. In sharp contrast to the irrelevance of subtle reputation cues for strong reciprocity, we find a large effect of explicit, pecuniary reputation incentives on the trustees' prosociality. Trustees who can acquire a good reputation that benefits them in future interactions honour trust much more than trustees who cannot build a good reputation. These results cast doubt on hypotheses suggesting that strong reciprocity is easily malleable by implicit reputation cues not backed by explicit reputation incentives

The Persistent Power of Promises

This paper investigates how the passage of time affects trust, trustworthiness, and cooperation. We use a hybrid lab and online experiment to provide the first evidence for the persistent power of communication. Even when 3 weeks pass between messages and actual choices, communication raises cooperation, trust, and trustworthiness by about 50 percent. Lags between the beginning of the interaction and the time to respond do not substantially alter trust or trustworthiness. Our results further suggest that the findings of the large experimental literature on trust that focuses on laboratory scenarios in which subjects are forced to choose their actions immediately after communicating, may translate to more ecologically valid settings in which individuals choose actions outside the lab and long after they initially made promises

The Persistent Power of Promises

Using a large-scale hybrid laboratory and online trust experiment with pre-play communication this paper investigates how the passage of time affects trust, trustworthiness, and cooperation. We provide evidence for the persistent power of communication. Even when three weeks pass between messages and actual choices and even when these choices are made outside of the lab, communication (predominantly through the use of promises) raises cooperation, trust, and trustworthiness by about 50 percent. Delays between the beginning of the interaction and the time to reciprocate neither substantially alter trust or trustworthiness nor affect how subjects choose to communicate

SPOT: a New Monte Carlo Solver for Fast Alpha Particles

12th International Congress on Plasma Physics, 25-29 October 2004, Nice (France)The predictive transport code CRONOS has been augmented by an orbit following Monte Carlo code, SPOT (Simulation of Particle Orbits in a Tokamak). The SPOT code simulates the dynamics of non-thermal particles, and takes into account effects of finite orbit width and collisional transport of fast ions. Recent developments indicate that it might be difficult to avoid, at least transiently, current holes in a reactor. They occur already on existing tokamaks during advanced tokamak scenarios. For this reason the SPOT code has been used to study the alpha particle behaviour in the presence of current holes for both JET and ITER relevant parameters

Temporal Deep Learning for Drone Micro-Doppler Classification

International audienceOur work builds temporal deep learning architectures for the classification of time-frequency signal representations on a novel model of simulated radar datasets. We show and compare the success of these models and validate the interest of temporal structures to gain on classification confidence over time

Complex-valued neural networks for fully-temporal micro-Doppler classification

International audienceMicro-Doppler analysis commonly makes use of the log-scaled, real-valued spectrogram, and recent work involving deep learning architectures for classification are no exception. Some works in neighboring fields of research directly exploit the raw temporal signal, but do not handle complex numbers, which are inherent to radar IQ signals. In this paper, we propose a complex-valued, fully temporal neural network which simultaneously exploits the raw signal and the spectrogram by introducing a Fourier-like layer suitable to deep architectures. We show improved results under certain conditions on synthetic radar data compared to a real-valued counterpart

Prevalence of Local Immune Response against Oral Infection in a Drosophila/Pseudomonas Infection Model

Pathogens have developed multiple strategies that allow them to exploit host resources and resist the immune response. To study how Drosophila flies deal with infectious diseases in a natural context, we investigated the interactions between Drosophila and a newly identified entomopathogen, Pseudomonas entomophila. Flies orally infected with P. entomophila rapidly succumb despite the induction of both local and systemic immune responses, indicating that this bacterium has developed specific strategies to escape the fly immune response. Using a combined genetic approach on both host and pathogen, we showed that P. entomophila virulence is multi-factorial with a clear differentiation between factors that trigger the immune response and those that promote pathogenicity. We demonstrate that AprA, an abundant secreted metalloprotease produced by P. entomophila, is an important virulence factor. Inactivation of aprA attenuated both the capacity to persist in the host and pathogenicity. Interestingly, aprA mutants were able to survive to wild-type levels in immune-deficient Relish flies, indicating that the protease plays an important role in protection against the Drosophila immune response. Our study also reveals that the major contribution to the fly defense against P. entomophila is provided by the local, rather than the systemic immune response. More precisely, our data points to an important role for the antimicrobial peptide Diptericin against orally infectious Gram-negative bacteria, emphasizing the critical role of local antimicrobial peptide expression against food-borne pathogens