Engendering regulation of artisanal and small-scale mining: participation,protection and access to justice

Abstract

This article argues that adopting a gender perspective when regulating artisanal and small-scale mining (ASM) is both necessary and achievable. The authors analyse women’s often-ignored needs and experiences as workers, decision-makers and affected community members in the ASM sector. To address these concerns, this article sets out standards for regulating ASM to guarantee women’s access to services and information and women’s decision-making and representation; to address the specific risks women face in the sector; and to provide access to effective remedies. The authors use international instruments to identify good practice benchmarks from which legislators and policymakers can draw. The article also notes where global norms fall short of addressing women’s rights in ASM. Some of the limitations of this approach are also acknowledged, notably the challenge of establishing gender-responsive laws that can be feasibly and effectively implemented. Nonetheless, the proposed approach should be favoured to better respond to the highly masculinised nature of the sector and the differentiated impacts of ASM on men and women while recognising women’s roles as beneficiaries and productive agents of the sector.     

Sociodemographic,Clinical, and Therapeutic Aspects of Penitentiary Psychiatric Consultation: Toward Integration Into the General Mental Health Services

The characteristics of mental disorders, as well as deficiencies in their treatment, must be properly defined. This was a prospective, longitudinal, observational study, in which all men referred to a penitentiary psychiatric consultation of three penitentiary centers in Spain were invited to participate. Those who consented to participation (1328) were interviewed at the baseline timepoint and at intervals for up to 3 years. The presence of mental disorders was high: 68.2% had a cluster B personality disorder, 14% had an affective and/or anxiety disorders, 13% had schizophrenia, and over 80% had a dual disorder. Polypharmacy was the norm. Moreover, the health care received in prison did not match that provided in the community in terms of quantity and quality. These results should help to facilitate the design of mental healthcare provision for prisoners, focusing on both the most frequent patient profiles and equality of care.     

Testing Application of Geographical Information Systems,Forensic Geomorphology and Electrical Resistivity Tomography to Investigate Clandestine Grave Sites in Colombia,South America

Colombian forensic investigators required assistance locating clandestine burials of missing persons related to human right atrocities from 14 years ago. Geoscientific search methods were trialled, including a predictive spatial statistical model, using various input and database information, to select the most likely grave locations in difficult mountainous terrain. Groundwork using forensic geomorphology, near-surface geophysics (ERT) and subsequent probing identified suspect burial positions. One site was in mountainous terrain and the other in former school grounds, both difficult to access and in poor weather conditions. In the mountainous area, a negative resistivity anomaly area was identified and intrusively investigated, found to be a buried rock. In school grounds, after MESP and intelligence were used to identify a burial site, surface depressions were identified, and ERT datasets collected over the highest priority depression; intrusive investigations discovered a hand-dug pit containing animal bones. This approach is suggested for Latin American searches.     

Evaluation of the Simultaneous Analysis of Organic and Inorganic Gunshot Residues Within a Large Population Data Set Using Electrochemical Sensors*,†

The increasing demand for rapid methods to identify both inorganic and organic gunshot residues (IGSR and OGSR) makes electrochemical methods, an attractive screening tool to modernize current practice. Our research group has previously demonstrated that electrochemical screening of GSR samples delivers a simple, inexpensive, and sensitive analytical solution that is capable of detecting IGSR and OGSR in less than 10 min per sample. In this study, we expand our previous work by increasing the number of GSR markers and applying machine learning classifiers to the interpretation of a larger population data set. Utilizing bare screen-printed carbon electrodes, the detection and resolution of seven markers (IGSR; lead, antimony, and copper, and OGSR; nitroglycerin, 2,4-dinitrotoluene, diphenylamine, and ethyl centralite) was achieved with limits of detection (LODs) below 1 µg/mL. A large population data set was obtained from 395 authentic shooter samples and 350 background samples. Various statistical methods and machine learning algorithms, including critical thresholds (CT), naïve Bayes (NB), logistic regression (LR), and neural networks (NN), were utilized to calculate the performance and error rates. Neural networks proved to be the best predictor when assessing the dichotomous question of detection of GSR on the hands of shooter versus nonshooter groups. Accuracies for the studied population were 81.8 % (CT), 88.1% (NB), 94.7% (LR), and 95.4% (NN), respectively. The ability to detect both IGSR and OGSR simultaneously provides a selective testing platform for gunshot residues that can provide a powerful field-testing technique and assist with decisions in case management.     

A Count Data Model of Technology Adoption

This paper investigates the main determinants of the adoption of flexible production technologies (FPTs), using a plant-level dataset of Portuguese manufacturing industry. Besides using a new dataset, this paper extends the framework of previous studies on technology adoption by taking into account the effect of demand uncertainty as an additional determinant of adoption. In order to examine this relationship, several econometric models for count data are estimated. These models deal with the discrete nature of the dependent variable and firm specific unobservable characteristics arising from the cross-section context. The main findings of the paper are: (i) rank effects and technological regimes are important determinants of technology adoption, as put forward in previous models of technology diffusion; (ii) demand uncertainty has a significant positive impact on the likelihood of adopting FPTs, which suggests that technological heterogeneity is important when modelling firms' investment decisions; (iii) the estimates were improved after controlling for excess zeros and overdispersion that characterizes our data.     

STR allelic frequencies for an African population sample (Equatorial Guinea) using AmpFlSTR Identifiler and Powerplex 16 kits

We present allele frequencies and forensic parameters for 17 STRs included in the AmpFlSTR Identifiler (CSF1PO, D2S1338, D3S1358, D5S818, D7S820, D8S1179, D13S317, D16S539, D18S51, D19S433, D21S11, FGA, TH01, TPO and VWA) and Powerplex 16 System (CSF1PO, D3S1358, D5S818, D7S820, D8S1179, D13S317, D16S539, D18S51, D21S11, FGA, Penta D, Penta E, TH01, TPO and VWA) in a sample of 134 unrelated individuals from Equatorial Guinea located in Western Africa, between Cameroon and Gabon. Hardy-Weinberg equilibrium was tested for each locus and the sample was compared with five African databases: Promega's and AB Applied Biosystems African-Americans and samples from Mozambique, from Cabinda (Angola) and Guinea-Bissau.     

Population data on 14 STR loci from population of Serbia and Montenegro (new and renewed data)

A renewed and new population study of fourteen short tandem repeat loci (TH01, TPOX, CSF1P0, vWA, FES/FPS, F13A01, D13S317, D7S820, D16S539, LPL, F13B, CD4, D5S818 and D8S1179) were performed in a sample of 296-531 unrelated individuals from Serbia and Montenegro. Population data were compared to previously published data from Vojvodina province and neighboring Croatia.