Eyewitness susceptibility to co-witness misinformation is influenced by co-witness confidence and own self-confidence

If an eyewitness is exposed to a co-witness statement that incorrectly blames an innocent bystander for a crime, the eyewitness can be influenced by this statement and also blame the innocent bystander for the crime. This effect is known as blame conformity. In two studies, we examined whether or not this effect is influenced by the degree of confidence a co-witness expresses in her incorrect statement (Study 1) and an eyewitness’s own level of self-confidence (Study 2). Participant eyewitnesses first watched a crime video featuring a perpetrator and an innocent bystander, then read a co-witness statement about the crime that either correctly blamed the perpetrator, incorrectly blamed the innocent bystander, or blamed nobody (a control condition). They were then asked who committed the crime. In Study 1, participants who read an incorrect statement were at increased risk of engaging in blame conformity when the co-witness expressed a high level of confidence, compared to a low level of confidence, in the accuracy of her statement. In Study 2, participants who were lowest in self-confidence were at increased risk of engaging in blame conformity. The theoretical underpinnings of these effects are considered.     

Analysis of Indian blue ballpoint pen inks tagged with rare-earth thenoyltrifluoroacetonates by inductively coupled plasma-mass spectrometry and instrumental neutron activation analysis

Characterization and assessment of inks on sensitive documents for absolute/relative age determination is the challenging forensic problem in spite of practical difficulties. Tagging of ballpoint pen ink with suitable taggant(s) is a unique method to come out with definitive inferences on the detection of forgery in documents written with ballpoint pens. Selection of a proper taggant primarily depends on sensitivity of analytical determination and their absence in normal varieties of ink used for document writing. Rare-earth elements, from all technical considerations can be potential taggant(s) for inks. To ensure more compatibility with ink, 13 rare-earth thenoyltrifluoroacetonate chelates were prepared and characterized. The ballpoint pen inks were tagged with rare-earth thenoyltrifluoroacetonate chelates individually at about 1-100 ppm level depending on sensitivity of element under suitable optimized experimental conditions and instrumental sensitivity. Aliquots of such tagged ink having varying amounts of taggants were analyzed by ICP-MS and INAA. Satisfactory recoveries and a good linear relationship of intensity (signal) against concentrations/amounts were observed. Under the optimized experimental conditions, the detection limits were worked out. This study of tagging metal ions in combination with ICP-MS and NAA as an analytical tool can allow to draw various combination options based on different rare-earth chelates as suitable materials for tagging of ballpoint pen inks for absolute/relative age determination to aid in document related crime examination. The advantages and limitations of proposed analytical techniques are discussed.     

Rapid and non-destructive approach for characterization and differentiation of sealing wax using ATR-FTIR spectroscopy

Sealing wax is used for maintaining the integrity and authenticity of a document or physical evidence. Any tampering with the seal calls into question the overall integrity and authenticity of the tangible evidence or document. In these circumstances, determining the authenticity of the sealing material (physical and chemical) becomes imperative. In this study, ATR-FTIR spectroscopy supported by chemometrics has been used to differentiate sealing wax samples belonging to 12 different brands available across India. All the samples were first melted, cooled, and then analyzed using ATR-FTIR spectroscopy in the mid-infrared region (4000–600 cm⁻¹). The obtained spectra were first examined visually for the presence of different functional groups. Principal component analysis (PCA) and principal component analysis-linear discriminant analysis (PCA-LDA) were employed to analyze the sample clustering patterns and to categorize them into their respective groups, respectively. For classification, a PCA-LDA training model was applied, and it demonstrated 95.83% accuracy. The validation test resulted in an accuracy of 83.33%. PCA-LDA model offered 100% accurate prediction for samples on various substrates, including cloth, cardboard, and paper. A blind study was also performed using five unknown samples, which were accurately classified into their respective groups. PCA-LDA model will be helpful in providing investigative leads by linking a questioned sealing wax sample with its respective group.     

Jumping Together: A Fatal Suicide Pact

In suicide pact, two or more victims mutually agree and execute to end their lives together by predetermined method, preferably by hanging, drowning, gunshot, or poisoning. The victims are usually spouses, lovers, or friends, and the reasons behind such steps are various. In this reported suicide pact, husband–wife duo jumped from the terrace of a 12‐meter‐high building with their wrist bound to each other. Although they jumped together, the injury patterns were completely different. The man landed on head sustaining mainly craniocerebral injuries, and the wife landed on feet sustaining long bone injuries. They left a suicide note pointing out sudden demise of their only child as the reason for the suicide, and it was signed by both of them. Jumping from a height in suicide pact has not been reported in the scientific literature yet.     

Impact of labour attributes and probability of employability in Indian labour market: A sectoral analysis

The structural transition of an economy helps the nations to move from primary to secondary and then to tertiary sector for the total output and employment generation. However, the absence of this systematic structural transition could lead the nation into long‐term imbalances for employment and output. This is happening with India as its economy has directly moved from primary to tertiary sector for both output and employment generation. The present study helps to identify the main reasons about why India is still stagnating with its sluggish primary sector for employment generation. This will also show the existing pattern of occupational choices for the people of different labour attributes. The study usages the fourth and fifth survey of employment and unemployment conducted by the Labour Bureau in 2012–13 and 2014–15 over 1,087,968 individuals of India. The study applies both multinomial logit model and binary logit model for analysing the employment probabilities of the individuals for working in the primary, secondary, and tertiary sectors. The study finds that location and education are the most important factor affecting the employment choices of the individuals, whereas caste and gender are also important but with moderate impact. The location is found crucial factor for primary and secondary sector occupation, whereas secondary sector is neutral in this regard. The service sector is found to have the highest incidences of caste discrimination and favouritism in the labour market. The education has the highest impact on the service sector jobs.     

Pharmacological interventions for drug-using offenders: an update to a systematic review and meta-analysis

Journal of Experimental Criminology - This updated systematic review assesses the effects of pharmacological interventions for drug-using offenders. Systematic review protocols and conventions of...     

Sustainability labelling as a tool for reporting the sustainable development impacts of climate actions relevant to Article 6 of the Paris Agreement

The architecture of global carbon markets has changed significantly since the Paris Agreement and the 2030 Agenda for Sustainable Development Goals were both agreed in 2015. Voluntary, international cooperative approaches established in Article 6 of the Paris Agreement allow Parties to work together to achieve the targets set out in their respective Nationally Determined Contributions to limit global warming to an increase below 1.5–2 °C. In Article 6.4, a sustainable mitigation mechanism is established for which rules, modalities and procedures will be developed internationally considering the experience and lessons learned from existing mechanisms, such as the Clean Development Mechanism (CDM) and its Sustainable Development (SD) Tool. Historically the issue of making integrated assessments of sustainable development and mitigation actions has been politically and methodologically controversial for many reasons: developing countries fear that an international definition of SD will interfere with their sovereignty and therefore their ability to define their own development pathways; players in the carbon market fear that markets can only handle one objective, namely mitigation outcomes; and sustainable development is regarded as too complex and costly to be measured and quantified. In an effort to address these concerns, the article proposes a new methodology for the sustainability labelling of climate mitigation actions relevant to Article 6 approaches. The article draws on an application of the CDM SD tool to analyse 2098 Component Programme Activities that had entered the CDM Pipeline by January 2017. The article demonstrates that assessment of the sustainable development benefits of climate actions can be graded and labelled based on the analysis of qualitative data, which is less costly than applying a quantitative approach.