Unveiling White logic in criminological research: an intertextual analysis

Critical race scholars have called into question the objective neutrality upon which much positivist social science rests, arguing that it discursively masks how whiteness underpins the normative purview of research design and findings. As the scholarly securing of whiteness takes shape through explicit and discursive mechanisms, this article examines how it is manifest in criminological research through an intertextual analysis of contemporary peer-reviewed scholarship. Examining 558 articles in five recognized journals, this paper documents how blind spots towards race and racial stratification surface in criminological research, arguing that most of the articles analyzed do not simply ignore White privilege; they actively uphold it. Findings suggest that they do so through two means: first by whitewashing race, that is, disregarding how race and racism can differentially affect acts and trends of crime and deviance, and secondly, by narrowly representing race as merely explanatory variable without querying the broader power relations it marks. After discussing how these patterns reveal and uphold whiteness as a normative value, we conclude with a discussion of preliminary steps aimed at exposing and unpacking how White logic informs the field.     

Aimee Rickman: Adolescence,Girlhood, and Media Migration: US Teens’ Use of Social Media to Negotiate Offline Struggles

Journal of Youth and Adolescence -     

Pitfalls of Computed Tomography 3D Reconstruction Models in Cranial Nonmetric Analysis*

Many studies in the literature have highlighted the utility of virtual 3D databanks as a substitute for real skeletal collections and the important application of radiological records in personal identification. However, none have investigated the accuracy of virtual material compared to skeletal remains in nonmetric variant analysis using 3D models. The present study investigates the accuracy of 20 computed tomography (CT) 3D reconstruction models compared to the real crania, focusing on the quality of the reproduction of the real crania and the possibility to detect 29 dental/cranial morphological variations in 3D images. An interobserver analysis was performed to evaluate trait identification, number, position, and shape. Results demonstrate a false bone loss in 3D models in some cranial regions, specifically the maxillary and occipital bones in 85% and 20% of the samples. Additional analyses revealed several difficulties in the detection of cranial nonmetric traits in 3D models, resulting in incorrect identification in circa 70% of the traits. In particular, pitfalls included the detection of erroneous position, error in presence/absence rates, in number, and in shape. The lowest percentages of correct evaluations were found in traits localized in the lateral side of the cranium and for the infraorbital suture, mastoid foramen, and crenulation. The present study highlights important pitfalls in CT scan when compared with the real crania for nonmetric analysis. This may have crucial consequences in cases where 3D databanks are used as a source of reference population data for nonmetric traits and pathologies and during bone-CT comparisons for identification purposes.     

Preventing radicalism in educational institutions: Pakistan a case in point

With the recent drastic shifts in societies, thinking styles, and most importantly, the degree of online‐and‐offline exposure, it is easy for the young and developing mind to fall prey to radical or extremist ideas. Radical organizations direct their recruiting efforts toward those who have yet to reach adolescence and are incapable of forming well‐informed and educated decisions. Since it is in human nature to target the weak and the vulnerable, these organizations look for dissatisfied, isolated and friendless young people. They are especially allured when these organizations promise to get them all they lack. As there have been incidents recently reported on young students' involvement in terror activities, the study proposes alternatives to prevent them from falling prey to radical thoughts. The proposed alternatives are judged through TOPSIS (Technique of Order Preference Similarity to the Ideal Solution) and the ideal alternative is singled out after mathematical calculation. Out of the five proposed alternatives, the study, through TOPSIS analysis, proposes that parents may be trained to handle their children in order to keep them from radical thoughts. In addition to the ideal alternative, the study also suggests that the government take preventive measures to curb the evil of radicalism.     

Not So Scary: Using and Defusing Content Warnings in the Classroom

Content warnings — notices to students that class material may evoke their past traumas — have become entangled in (over)heated debates about the role of free speech on campus. Critics denounce content warnings as silencing tools intended to promote censorship, preclude discussion of difficult topics or punish professors who hold unpopular views. Supporters too often conflate content warnings with broader demands for classroom “safe space” that fail to recognize the distinct features of posttraumatic stress as a form of mental illness. In this article, I reconceptualize content warnings as a way to facilitate access to course material for students with posttraumatic stress disorder (PTSD). I then offer a set of concrete strategies for employing content warnings in political science courses. These strategies aim not only to support students struggling with trauma but also to de-escalate the controversy around content warnings by emphasizing how such warnings work to encourage engagement, access, and discussion.     

Hair analysis for delta(9)-THC,delta(9)-THC-COOH,CBN and CBD,by GC/MS-EI. Comparison with GC/MS-NCI for delta(9)-THC-COOH

A sensitive analytical method was developed for quantitative analysis of delta(9)-tetrahydrocannabinol (delta(9)-THC), 11-nor-delta(9)-tetrahydrocannabinol-carboxylic acid (delta(9)-THC-COOH), cannabinol (CBN) and cannabidiol (CBD) in human hair. The identification of delta(9)-THC-COOH in hair would document Cannabis use more effectively than the detection of parent drug (delta(9)-THC) which might have come from environmental exposure. Ketamine was added to hair samples as internal standard for CBN and CBD. Ketoprofen was added to hair samples as internal standard for the other compounds. Samples were hydrolyzed with beta-glucuronidase/arylsulfatase for 2h at 40 degrees C. After cooling, samples were extracted with a liquid-liquid extraction procedure (with chloroform/isopropyl alcohol, after alkalinization, and n-hexane/ethyl acetate, after acidification), which was developed in our laboratory. The extracts were analysed before and after derivatization with pentafluoropropionic anhydride (PFPA) and pentafluoropropanol (PFPOH) using a Hewlett Packard gas chromatographer/mass spectrometer detector, in electron impact mode (GC/MS-EI). Derivatized delta(9)-THC-COOH was also analysed using a Hewlett Packard gas chromatographer/mass spectrometer detector, in negative ion chemical ionization mode (GC/MS-NCI) using methane as the reagent gas. Responses were linear ranging from 0.10 to 5.00 ng/mg hair for delta(9)-THC and CBN, 0.10-10.00 ng/mg hair for CBD, 0.01-5.00 ng/mg for delta(9)-THC-COOH (r(2)>0.99). The intra-assay precisions ranged from <0.01 to 12.40%. Extraction recoveries ranged from 80.9 to 104.0% for delta(9)-THC, 85.9-100.0% for delta(9)-THC-COOH, 76.7-95.8% for CBN and 71.0-94.0% for CBD. The analytical method was applied to 87 human hair samples, obtained from individuals who testified in court of having committed drug related crimes. Quantification of delta(9)-THC-COOH using GC/MS-NCI was found to be more convenient than GC/MS-EI. The latter may give rise to false negatives due to the detection limit.