Suchergebnisse

This article explores the possibility that clients of prostitution could help victims of trafficking. In Spain, prostitution is not prohibited and the men who pay for sex are the first people who make contact with victims of trafficking for sexual exploitation. Ninety-seven interviews concerning the possible detection and reporting by clients of trafficking for prostitution were analysed, (48 of them with key informants "NGO members, prosecutors and police officers "17 interviews with clients of prostitution and 22 with women who were victims of sex trafficking). The findings presented here show two types of clients, Personalisers and Thingers, with the former being the most likely to collaborate in the detection and rescue of victims of trafficking. However greater awareness in clients of prostitution is needed to enable them to collaborate.

Summary Anger, hostility and mistrust towards refugees, asylum-seekers and immigrants (hereafter migrants) are increasing across most Western societies. Media discourse, tough migration laws, and the escalation of right-wing views across Europe, all manifest a desire to exclude those who are seen as a threat to national interests and identities. The literature repeatedly confirms that discrimination has a harmful impact on the general well-being of migrants, while often weakening their trust on helping professionals. Social workers are among the professionals most often in contact with migrants, making them important actors in the field of migration. Findings This qualitative study was conducted in Madrid (Spain) and follows the interpretative phenomenological analysis approach. Findings revealed that Muslims and Blacks are the groups facing the most intense racial hostility. Emotions like fear, sadness, learned helplessness, frustration, rejection, anger, and general mistrust were underlined by participants. Some migrants highlighted negative coping mechanisms like isolation, aggressive impulses, approaching mafias, and risk behaviours, leading to further rejection from host societies, and thus initiating a vicious circle of hostility. Application These findings constitute a modest contribution to the literature, as they result from an integration of migrants' and helping professionals' perspectives. Several suggestions are put forward for social workers and other professionals. The two most significant suggestions are that professionals (a) use their field experience to raise awareness about racial hostility towards this population, and (b) help identify migrants who may rely on negative coping strategies and so prevent adverse consequences for both migrants and host societies.

The commitment by over 100 governments covering over 90% of the world's forests at the COP26 in Glasgow to end deforestation by 2030 requires more effective forest monitoring systems. The near real-time (NRT) change detection of forest cover loss enables forest landowners, government agencies and local communities to monitor natural and anthropogenic disturbances in a much timelier fashion than the thematic maps that are released every year. NRT deforestation alerts enable the establishment of more up-to-date forest inventories and rapid responses to unlicensed logging. The Copernicus Sentinel-2 satellites provide operational Earth observation (EO) data from multi-spectral optical/near-infrared wavelengths every five days at a global scale and at 10 m resolution. The amount of acquired data requires cloud computing or high-performance computing for ongoing monitoring systems and an automated system for processing, analyzing and delivering the information promptly. Here, we present a Sentinel-2-based NRT change detection system, assess its performance over two study sites, Manantlán in Mexico and Cartagena del Chairá in Colombia, and evaluate the forest changes that occurred in 2018. An independent validation with very high-resolution PlanetScope (~3 m) and RapidEye (~5 m) data suggests that the proposed NRT change detection system can accurately detect forest cover loss (> 87%), other vegetation loss (> 76%) and other vegetation gain (> 71%). Furthermore, the proposed NRT change detection system is designed to be attuned using in situ data. Therefore, it is scalable to larger regions, entire countries and even continents.