Remembrance

This chapter examines the commemoration of victims of the Terror. It focuses on the transformation of mass graves into expiatory monuments. This process began in the immediate aftermath of the Terror and continued into the Bourbon Restoration. The chapter shows how the struggle of the families to get closure by providing proper burial to their loved ones clashed with the desire of post-revolutionary regimes to keep at bay memories that threatened to reignite civil discord.

2012 ◽  
pp. 83-118
Author(s):  
Caroline Sturdy Colls

Public impression of the Holocaust is unquestionably centred on knowledge about, and the image of, Auschwitz-Birkenau – the gas chambers, the crematoria, the systematic and industrialized killing of victims. Conversely, knowledge of the former extermination camp at Treblinka, which stands in stark contrast in terms of the visible evidence that survives pertaining to it, is less embedded in general public consciousness. As this paper argues, the contrasting level of knowledge about Auschwitz- Birkenau and Treblinka is centred upon the belief that physical evidence of the camps only survives when it is visible and above-ground. The perception of Treblinka as having been “destroyed” by the Nazis, and the belief that the bodies of all of the victims were cremated without trace, has resulted in a lack of investigation aimed at answering questions about the extent and nature of the camp, and the locations of mass graves and cremation pits. This paper discusses the evidence that demonstrates that traces of the camp do survive. It outlines how archival research and non-invasive archaeological survey has been used to re-evaluate the physical evidence pertaining to Treblinka in a way that respects Jewish Halacha Law. As well as facilitating spatial and temporal analysis of the former extermination camp, this survey has also revealed information about the cultural memory.


2017 ◽  
Vol 4 (XXII) ◽  
pp. 7-20
Author(s):  
Benon Gaziński ◽  
Maria Swianiewicz-Nagięć

In his article, authors deals with Stanisław Swianiewicz heritage. They point-out that it cannot be reduced to the famous episode of the Katyń massacre while he avoided death being sent to the Gwiezdowo station in the neighbourhood of the mass graves – the only one such a case. While settled in Vilnius, after the Bolshevik’s revolution, he became a Professor of the Stefan Batory University, dealing with the Soviet studies, history of ideas and economic thought. In the article – very little known – journalistic essays are overviewed as published by Swianiewicz in pre-war Vilnius press and dealing with the issue of the national and religious minorities of the Polish Eastern Borderlands.


2020 ◽  
Vol 102 (913) ◽  
pp. 199-234
Author(s):  
Nema Milaninia

AbstractAdvances in mobile phone technology and social media have created a world where the volume of information generated and shared is outpacing the ability of humans to review and use that data. Machine learning (ML) models and “big data” analytical tools have the power to ease that burden by making sense of this information and providing insights that might not otherwise exist. In the context of international criminal and human rights law, ML is being used for a variety of purposes, including to uncover mass graves in Mexico, find evidence of homes and schools destroyed in Darfur, detect fake videos and doctored evidence, predict the outcomes of judicial hearings at the European Court of Human Rights, and gather evidence of war crimes in Syria. ML models are also increasingly being incorporated by States into weapon systems in order to better enable targeting systems to distinguish between civilians, allied soldiers and enemy combatants or even inform decision-making for military attacks.The same technology, however, also comes with significant risks. ML models and big data analytics are highly susceptible to common human biases. As a result of these biases, ML models have the potential to reinforce and even accelerate existing racial, political or gender inequalities, and can also paint a misleading and distorted picture of the facts on the ground. This article discusses how common human biases can impact ML models and big data analytics, and examines what legal implications these biases can have under international criminal law and international humanitarian law.


2021 ◽  
pp. 205030322110153
Author(s):  
Daniel Pérez-Zapico

This article analyses the contested adoption of electric lights by the Spanish Catholic church during the Bourbon Restoration era (1874–1931). Through a careful reading of primary sources, namely Catholic popular magazines, and official documents, it will show how Catholic authorities and practitioners resisted, negotiated and, ultimately, engaged with electricity in religious spaces. The article argues that electric light contributed to wider exchanges in a non-monolithic Spanish Catholicism on the observance of traditional values or the possibilities of the church’s modernization. However, amid a particularly tense moment regarding the secular–clerical relations, the systematic use of electric lights in churches at the turn of the twentieth century—but also in other public ceremonies—contributed to the making of religious sensations aimed at attracting new believers and reasserting the presence of the institution in a disputed public space.


2016 ◽  
Vol 37 (21) ◽  
pp. 2841-2847 ◽  
Author(s):  
Francesc Calafell ◽  
Roger Anglada ◽  
Núria Bonet ◽  
Mercedes González-Ruiz ◽  
Gemma Prats-Muñoz ◽  
...  

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