Metric forensic anthropology decisions: Reliability and biasability of sectioning-point-based sex estimates

Subjective decisions make human cognitive processes more susceptible to bias and error. Specifically, research indicates that additional context biases forensic anthropologists’ morphological analyses. To address whether metric analyses are also subject to bias, we conducted a pilot study in which 52 experienced osteologists measured a difficult-to-classify human femur, with or without additional contextual information. Using a metric sectioning-point sex-estimation method, participants provided a sex estimate for individual skeletal element(s) and, when given multiple elements, the combined skeletal assemblage. Control group participants (n = 24) measured only the femur. In addition to the femur, bias group participants (n = 28) either measured a female humerus and viewed a female-biasing photograph (n = 14) or measured a male humerus and viewed a male-biasing photograph (n = 14). We explored whether the experts in the different groups would differ in: (1) femoral measurements; (2) femoral sex-estimation conclusions; and (3) final sex-estimation conclusions for the skeletal assemblage. Although the femoral measurements and femoral sex estimates were comparable across groups, the overall sex estimates in the female-biased group were impacted by contextual information—differing from both the control and male-biased groups (p < 0.001). Our results demonstrate that cognitive bias can occur even in metric sex-estimation conclusions. Specifically, this occurred when the metric data and single-element sex estimates were synthesized into an overall estimate. Thus, our results suggest that metric methods are most vulnerable to bias when data are synthesized into an overall conclusion, highlighting the need for bias countermeasures and comprehensive statistical frameworks for synthesizing metric data to mitigate the effects of cognitive bias.     

Observer determination of the make,model, and year of questioned vehicles

Often, criminal acts involving a vehicle are caught on digital video surveillance systems. While potentially useful for an investigation, the recording conditions are typically less than optimal for the extraction of key information for the identification of the perpetrator, such as a license plate. Providing the make, model and year of a questioned vehicle is a common request for examiners, to narrow the field of potential suspect vehicles. This study seeks to compare the performance of a nonpeer-reviewed make, model, and year determination between two separate groups, specifically, trained forensic image examiners and nontrained individuals. Results show that even with varied image capture conditions and quality, the trained forensic image examiners more correctly and completely identified the test group of questioned vehicles make, model, and year.     

Correction to: Frankenstein in Grozny: vertical and horizontal cracks in the foundation of Kadyrov’s rule

Asia Europe Journal - Many scholars have suggested that organized violence in Chechnya has ended, and that Russia’s Chechenization policy and Ramzan Kadyrov’s presidency deserve the...     

Building socialism: from ‘scientific’ to ‘active’ Marxism

Abstract

Historical materialism envisages law-like tendencies (‘scientific’ Marxism) promoting the development of productive forces and, concurrently, a political praxis (‘active’ Marxism) requiring human intervention. These positions give rise to conflicting interpretations of Marxism: first to understand society, second to change it – to abolish economic exploitation. The twentieth century witnessed a shift in the locus of the contradictions of capitalism to the economically dependent territories of the imperial powers. Socialist parties, when in power and adopting a Leninist political praxis, furthered modernisation and were successful in reducing economic exploitation. The paper addresses the relationship between the scientific and praxis components of Marxism in contemporary global capitalism. It considers post-Marxist interpretations of the changing class structure, the rise of identity politics and the evolving nature of capital. Forms of domination, oppression and discrimination (bureaucracy, patriarchy, racism, militarism and credentialism) give rise to their own distinctive forms of power relations. It is contended that they should not be equated with Marx’s crucial insight into the nature of economic exploitation. Many current Marxist (and ‘post-Marxist’) writers adopt a ‘scientific’ position emphasising the inherent contradictions of capitalism. The author claims that without appropriate political praxis, the resolution of such contradictions is unlikely to transcend capitalism.     

What do forensic analysts consider relevant to their decision making?

In response to research demonstrating that irrelevant contextual information can bias forensic science analyses, authorities have increasingly urged laboratories to limit analysts' access to irrelevant and potentially biasing information (Dror and Cole (2010) [3]; National Academy of Sciences (2009) [18]; President's Council of Advisors on Science and Technology (2016) [22]; UK Forensic Science Regulator (2015) [26]). However, a great challenge in implementing this reform is determining which information is task-relevant and which is task-irrelevant. In the current study, we surveyed 183 forensic analysts to examine what they consider relevant versus irrelevant in their forensic analyses. Results revealed that analysts generally do not regard information regarding the suspect or victim as essential to their analytic tasks. However, there was significant variability among analysts within and between disciplines. Findings suggest that forensic science disciplines need to agree on what they regard as task-relevant before context management procedures can be properly implemented. The lack of consensus about what is relevant information not only leaves room for biasing information, but also reveals foundational gaps in what analysts consider crucial in forensic decision making.