Learnability of embedded syntactic structures depends on prosodic cues

The ability to process center-embedded structures has been claimed to represent a core function of the language faculty. Recently, several studies have investigated the learning of center-embedded dependencies in artificial grammar settings. Yet some of the results seem to question the learnability of these structures in artificial grammar tasks. Here, we tested under which exposure conditions learning of center-embedded structures in an artificial grammar is possible. We used naturally spoken syllable sequences and varied the presence of prosodic cues. The results suggest that mere distributional information does not suffice for successful learning. Prosodic cues marking the boundaries of the major relevant units, however, can lead to learning success. Thus, our data are consistent with the hypothesis that center-embedded syntactic structures can be learned in artificial grammar tasks if language-like acoustic cues are provided.     

HIV Testing Experience and Risk Behavior Among Sexually Active Black Young Adults: A CBPR-Based Study Using Respondent-Driven Sampling in Durham,North Carolina

African Americans are disproportionately affected by the HIV epidemic inclusive of men who have sex with men, heterosexual men, and women. As part of a community‐based participatory research study we assessed HIV testing experience among sexually active 18–30 year old Black men and women in Durham, NC. Of 508 participants, 173 (74 %) men and 236 (86 %; p = 0.0008) women reported ever being tested. Barriers to testing (e.g., perceived risk and stigma) were the same for men and women, but men fell behind mainly because a primary facilitator of testing—routine screening in clinical settings—was more effective at reaching women. Structural and behavioral risk factors associated with HIV infection were prevalent but did not predict HIV testing experience. Reduced access to health care services for low income Black young adults may exacerbate HIV testing barriers that already exist for men and undermine previous success rates in reaching women.     

Coherence as Constraint Satisfaction

This paper provides a computational characterization of coherence that applies to a wide range of philosophical problems and psychological phenomena. Maximizing coherence is a matter of maximizing satisfaction of a set of positive and negative constraints. After comparing five algorithms for maximizing coherence, we show how our characterization of coherence overcomes traditional philosophical objections about circularity and truth.     

On the Consequences of Frequent Applicants in Adverse Impact Analyses: A demonstration study

Electronic résumés, online applications, and automated personnel systems have reduced the effort required for a candidate to apply for employment opportunities like selection and promotion. The nature of these systems may affect analyses of adverse impact. For example, candidates that can easily apply to many positions multiple times could strongly influence analyses of adverse impact under particular circumstances. This study demonstrates some potential consequences of including frequent applicants in adverse impact analyses. Using workforce simulation methodology, we illustrate some conditions where a lesser qualified frequent applicant substantially influences the statistical significance of adverse impact detection. In some cases, the adverse impact against a subgroup may be accounted for by a single frequent applicant; in other cases, statistically significant adverse impact may be disguised by a single frequent applicant. We also consider methods for identifying frequent applicants and present options for handling these cases in analyses.