Cultural differences in self‐recognition: the early development of autonomous and related selves?

Fifteen‐ to 18‐month‐old infants from three nationalities were observed interacting with their mothers and during two self‐recognition tasks. Scottish interactions were characterized by distal contact, Zambian interactions by proximal contact, and Turkish interactions by a mixture of contact strategies. These culturally distinct experiences may scaffold different perspectives on self. In support, Scottish infants performed best in a task requiring recognition of the self in an individualistic context (mirror self‐recognition), whereas Zambian infants performed best in a task requiring recognition of the self in a less individualistic context (body‐as‐obstacle task). Turkish infants performed similarly to Zambian infants on the body‐as‐obstacle task, but outperformed Zambians on the mirror self‐recognition task. Verbal contact (a distal strategy) was positively related to mirror self‐recognition and negatively related to passing the body‐as‐obstacle task. Directive action and speech (proximal strategies) were negatively related to mirror self‐recognition. Self‐awareness performance was best predicted by cultural context; autonomous settings predicted success in mirror self‐recognition, and related settings predicted success in the body‐as‐obstacle task. These novel data substantiate the idea that cultural factors may play a role in the early expression of self‐awareness. More broadly, the results highlight the importance of moving beyond the mark test, and designing culturally sensitive tests of self‐awareness.     

Modeling the Instructional Effectiveness of Responsible Conduct of Research Education: A Meta-Analytic Path-Analysis

Predictive modeling in education draws on data from past courses to forecast the effectiveness of future courses. The present effort sought to identify such a model of instructional effectiveness in scientific ethics. Drawing on data from 235 courses in the responsible conduct of research (RCR), structural equation modeling techniques were used to test a predictive model of RCR course effectiveness. Fit statistics indicated the model fit the data well, with the instructional characteristics included in the model explaining approximately 85% of the variance in RCR instructional effectiveness. Implications for using the model to develop and improve future RCR courses are discussed.     

Examining the Prevalence and Predictors of Injury From Adolescent Dating Violence

Medical needs of youth who experience dating violence are not well understood because of limited past research examining the prevalence and predictors of injuries and medical help seeking. To address these gaps, the current study described the prevalence and predictors of injuries from dating violence from grades 8 through 12 in a large sample of youth. Results indicate that one third to one half of youth who experienced any physical and/or sexual dating violence also sustained an injury. Prevalence of injury was highest in the 8th grade and was significantly higher for females than for males across grades 8 through 11. Youth who experienced greater amounts of violent victimization in their relationships (physical, sexual, and psychological) were at the highest risk for injury. Results also suggest that victims at highest risk for injury are girls, White youth, those experiencing multiple types of violence, and those who also engage in perpetration. Given the high prevalence of injury among youth who report dating violence, healthcare professionals may be in a unique position to screen and counsel youth about dating violence. Because the highest prevalence of injury occurred before high school, prevention programs should start early and selected prevention may be used for youth at highest risk for injury.     

What matters in implicit task sequence learning: perceptual stimulus features, task sets, or correlated streams of information?

Implicit task sequence learning may be attributed to learning the order of perceptual stimulus features associated with the task sequence, learning a series of automatic task set activations, or learning an integrated sequence that derives from 2 correlated streams of information. In the present study, our purpose was to distinguish among these 3 possibilities. In 4 separate experiments, we replicated and extended a previous study by Heuer, Schmidtke, and Kleinsorge (2001). The presence or absence of a sequence of tasks, as well as that of a sequence of different task-to-response mappings, was manipulated independently within experiments. Evidence of implicit sequence learning was found only when correlated sequences of tasks and mappings were present. No sequence learning effects were found when only a single task sequence or a single mapping sequence was present, even when the structure of the single sequence was identical to the structure of the integrated sequence of task-mapping combinations. These results suggest that implicit task sequence learning is not dependent on either perceptual learning of stimulus features or automatic task-set activation per se. Rather, it appears to be driven by correlated streams of information.     

Work Values and Their Effect on Work Behavior and Work Outcomes in Female and Male Managers

A longitudinal sample of over 800 MBA graduates surveyed across a 16-year period was recruited to investigate the relationship of work values to work effort, salary levels, and other work outcomes. As predicted, certain work values were related to higher salary levels and to the number of hours worked. Changing companies more often and receiving more promotions were also significantly related to work values. Work values did not differ for women and men in the sample, except that women were higher in the value of wanting to do an excellent job. Controlling for work values did not explain significantly higher salaries for men as compared to women. Implications of these data are discussed.     

To Whistleblow or Not to Whistleblow: Affective and Cognitive Differences in Reporting Peers and Advisors

Traditional whistleblowing theories have purported that whistleblowers engage in a rational process in determining whether or not to blow the whistle on misconduct. However, stressors inherent to whistleblowing often impede rational thinking and act as a barrier to effective whistleblowing. The negative impact of these stressors on whistleblowing may be made worse depending on who engages in the misconduct: a peer or advisor. In the present study, participants are presented with an ethical scenario where either a peer or advisor engages in misconduct, and positive and the negative consequences of whistleblowing are either directed to the wrongdoer, department, or university. Participant responses to case questions were evaluated for whistleblowing intentions, moral intensity, metacognitive reasoning strategies, and positive and negative, active and passive emotions. Findings indicate that participants were less likely to report the observed misconduct of an advisor compared to a peer. Furthermore, the findings also suggest that when an advisor is the source of misconduct, greater negative affect results. Post-hoc analyses were also conducted examining the differences between those who did and did not intend to blow the whistle under the circumstances of either having to report an advisor or peer. The implications of these findings for understanding the complexities involved in whistleblowing are discussed.

     

Preference-based belief revision for rule-based agents

Agents which perform inferences on the basis of unreliable information need an ability to revise their beliefs if they discover an inconsistency. Such a belief revision algorithm ideally should be rational, should respect any preference ordering over the agent’s beliefs (removing less preferred beliefs where possible) and should be fast. However, while standard approaches to rational belief revision for classical reasoners allow preferences to be taken into account, they typically have quite high complexity. In this paper, we consider belief revision for agents which reason in a simpler logic than full first-order logic, namely rule-based reasoners. We show that it is possible to define a contraction operation for rule-based reasoners, which we call McAllester contraction, which satisfies all the basic Alchourrón, Gärdenfors and Makinson (AGM) postulates for contraction (apart from the recovery postulate) and at the same time can be computed in polynomial time. We prove a representation theorem for McAllester contraction with respect to the basic AGM postulates (minus recovery), and two additional postulates. We then show that our contraction operation removes a set of beliefs which is least preferred, with respect to a natural interpretation of preference. Finally, we show how McAllester contraction can be used to define a revision operation which is also polynomial time, and prove a representation theorem for the revision operation.