Hybridized Indigenous Healing in the Kyrgyz Republic: Helping Survivors of Violence

ABSTRACT

Harmful consequences of civil unrest in 2010, in the Southern region of the Kyrgyz Republic in Osh, continue to have an impact on communities to the present day. One of the most significant effects has been numerous undiagnosed cases of rape and other types of gender-based violence (GBV) that occurred during the interethnic conflict. The true prevalence rate of GBV cases is still unknown. For example, according to official data from the Ministry of Internal Affairs (2011), there were only seven cases of rape during the conflict; however, crisis center reports documented 322 rapes (Molchanova, 2016 Molchanova, E. (2016). Okazanie psihologicheskoi pomoshci licam, postradavshim ot genderno-gonasiliya vo vremya krizisov i chrezvichainih situacii. Bishkek, Kyrgyz Republic: AltynPrint Publishing House.  [Google Scholar]). Cultural norms dictate that women who experience GBV hide their “shame,” which is why only a small percentage of victims with PTSD symptoms resulting from GBV seek out services from professionals, such as from crisis centers, psychologists and psychiatrists, and police. Indigenous healers are often the first and only stop for help-seeking. However, the influences of diverse religious beliefs and practices as well as the development of Western-style helping methods in the Kyrgyz Republic have shaped the practice of traditional healing. This hybridization, which is a process of including religious and even medical practices into traditional healing, started in the middle of the 1990s, and now, the extensive networks of traditional healers in the Kyrgyz Republic often combine traditional rituals with Islamic prayer, herbal treatment, massage, and other techniques. This article explores the hybridization of indigenous healing in the Kyrgyz Republic as a consequence of a variety of social transformations, and, as a result of polymorphism, the complexity and clinical variability of posttraumatic symptoms in Kyrgyz cultural settings.     

Fluctuating confidence: the dynamic consequences of true/false affirmatives and denials on how a listener appraises their personal past

The present study examined the mnemonic consequences of true/false denials and affirmatives on how a listener appraises their personal past. To this end, participants (listeners) rated the extent to which they were confident certain events occurred during their childhood. They rated these events both before and after a confederate (speaker) denied or affirmed the occurrence of four different childhood events each, for a total of eight “rehearsed” events. For each set (denials and affirmatives) of events, half were true and half were false. In turn, this created four types of events (two each): true denials, true affirmatives, false denials, and false affirmatives. Additionally, half of the participants were told that the speaker was provided independent information about the veracity of the event’s occurrence (“expert” condition). Overall, listeners were less confident in the occurrence of false denial events, but more so when they believed the speaker to be more knowledgeable of the listeners memories, more confident in false affirmative events and, counter intuitively, more confident in the occurrence of true denial events. These results underscore the importance of a nuanced approach to the mnemonic consequences of true and false denials and affirmations in the course of social interactions.     

Detecting Clusters/Communities in Social Networks

Cohen's κ, a similarity measure for categorical data, has since been applied to problems in the data mining field such as cluster analysis and network link prediction. In this paper, a new application is examined: community detection in networks. A new algorithm is proposed that uses Cohen's κ as a similarity measure for each pair of nodes; subsequently, the κ values are then clustered to detect the communities. This paper defines and tests this method on a variety of simulated and real networks. The results are compared with those from eight other community detection algorithms. Results show this new algorithm is consistently among the top performers in classifying data points both on simulated and real networks. Additionally, this is one of the broadest comparative simulations for comparing community detection algorithms to date.     

Mimicry and Investigative Interviewing: Using Deliberate Mimicry to Elicit Information and Cues to Deceit

We examined the effect of deliberate mimicry on eliciting (accurate) information and cues to deceit. Mimicry is considered to facilitate cooperation and compliance in truth tellers, whereas liars are constrained to provide detail. We therefore expected truth tellers to be more detailed than liars, particularly after being mimicked. A total of 165 participants told the truth or lied about a meeting they attended. During the interview, an interviewer mimicked half of the participants. Truth tellers were more detailed than liars, but only in the ‘mimicry present’ condition. Truth tellers also gave more accurate units of information than liars, and the difference was most pronounced in the ‘mimicry present’ condition. Mimicry as a tool for eliciting information and cues to deceit fits well with the emerging ‘interviewing to detect deception’ literature, particularly in the ‘encouraging interviewees to say more’ approach. Copyright © 2015 John Wiley & Sons, Ltd.     

Resolving conflict: A response to Martin and Cheng (2006)

Martin and Cheng (2006) report the results of an experiment aimed at disentangling the effects of association strength from those of competition on performance on a verb generation task. Their experiment is situated at the center of a putative debate regarding the function of the left inferior frontal gyrus in language processing (see, e.g., Wagner, Paré-Blagoev, Clark, & Poldrack, 2001). Following in this tradition, Martin and Cheng purport to contrast two processes—selection between competing representations and controlled retrieval of weak associates—that we argue can be reduced to the same mechanism. We contend that the distinction between competition and association strength is a false dichotomy, and we attempt to recast this discussion within a Bayesian framework in an attempt to guide research in this area in a more fruitful direction.     

A typology of motor vehicle consumers using motives for leasing versus financing

• Previous consumer research suggests that individuals who finance high‐cost items tend to differ from those who lease the same items. Some differences are economic, such as income and wealth, while other dissimilarities involve non‐economic issues such as personal preferences. We employ non‐hierarchical cluster analysis to create consumer segments of motor vehicle lessees and financers based on motives for leasing versus financing and demographics. Five segments were uncovered. Lessees predominate in two categories: budget gourmets and automotive hedonists. Another two categories, utility seekers and basic transportation seekers, are mainly comprised of financers. The final group, mature luxury seekers, consists of a roughly equal mix of lessees and financers. Differences between the segments are addressed here, along with a discussion of findings and implications.

Copyright © 2006 John Wiley & Sons, Ltd.     

Further exploration of the Vedic Personality Inventory: validity, reliability and generalizability

The purpose of this study was to explore the validity, reliability, and generalizability of the Vedic Personality Inventory which consists of constructs derived from the Vedic literature of India. There were 57 participants (20 men, 37 women). The mean age was 44.3 yr. (SD= 15.1). The sample was predominantly older, well-educated women who volunteered to participate as respondees to invitations to participate posted in supermarkets, churches, colleges, and on the internet. Analysis yielded statistically significant correlations for scores on the Vedic Personality Inventory and on the Daily Spiritual Experiences Scale and the Brief Symptom Inventory, each of which measures domains of interest addressed by the first inventory.