Ways of Contemporary Theopoetics: Mystery, Process, Event

The article examines the development of post-metaphysical discourses, united by the term “theopoetics”, that can be divided into two separate stages: the beginning of theopoetics out of the death-of-God movement in the 1970s, and its rebirth in the 1990s. The first one arises as a “non-metaphysical” alternative to conceptual systematics of theology in the use of religious metaphorical language. And the last one results in two main streams: as the process theology in the search of “different” metaphysics, as opposed to classical substantive one, in order to open the doors for interreligious diversity based on continuous universal values, and as hermeneutics and deconstruction, more intolerant of any metaphysics, where theopoetics acquires the meaning of narratives with Jesus as the central element, which determines its radical kenotic methodology. These are the ways of theopoetics that are wanted to be explored in this article.

Process Discovery Enhancement with Trace Clustering and Profiling

The potential in process mining is progressively growing due to the increasing amount of event-data. Process mining strategies use event-logs to automatically classify process models, recommend improvements, predict processing times, check conformance, and recognize anomalies/deviations and bottlenecks. However, proper handling of event-logs while evaluating and using them as input is crucial to any process mining technique. When process mining techniques are applied to flexible systems with a large number of decisions to take at runtime, the outcome is often unstructured or semi-structured process models that are hard to comprehend. Existing approaches are good at discovering and visualizing structured processes but often struggle with less structured ones. Surprisingly, process mining is most useful in domains where flexibility is desired. A good illustration is the "patient treatment" process in a hospital, where the ability to deviate from dealing with changing conditions is crucial. It is useful to have insights into actual operations. However, there is a significant amount of diversity, which contributes to complicated, difficult-to-understand models. Trace clustering is a method for decreasing the complexity of process models in this context while also increasing their comprehensibility and accuracy. This paper discusses process mining, event-logs, and presenting a clustering approach to pre-process event-logs, i.e., a homogeneous subset of the event-log is created. A process model is generated for each subset. These homogeneous subsets are then evaluated independently from each other, which significantly improving the quality of mining results in flexible environments. The presented approach improves the fitness and precision of a discovered model while reducing its complexity, resulting in well-structured and easily understandable process discovery results.

Use of coercion by Ukrainian law enforcement authorities: certain aspects.

The need for scientific research of the grounds for the use of coercion by law enforcement authorities, and especially its component such as physical coercion, is extremely important, as it is possible only if there are sufficient conditions provided by law. The author analyzes the legal and factual grounds for the use of coercion by law enforcement authorities in the field of causal interdependence and interdependence. Police coercive measures, measures to maintain the regime in places of imprisonment and pre-trial detention are revealed. They are applied only in cases when all other forms of pre-trial detention of offenders have been used and have not ensured the fulfillment of duties imposed on law enforcement officers. Emphasis is placed on the fact that each specific case of the use of coercion must have a comprehensive basis (legal and factual). The first component of this set is a dangerous encroachment (act, process, event of objective reality) that threatens harm, or that already harms law enforcement interests (legal basis). The second component is the situation that indicates the impossibility of eliminating, preventing or stopping the specified encroachment in other ways and indicates the need (compulsion) and justification for the use of coercion (factual basis). The author pays special attention to the analysis of Ukrainian legislation in order to study the legal grounds for the use of coercive measures by various law enforcement authorities. These legal relations are regulated by the norms of administrative, criminal procedure and correctional labor law. They clearly outline the desire of the legislator to limit the infliction of harm only to the minimum that is really necessary and sufficient to achieve the socially useful goals provided by law. Causing damage that exceeds this minimum is considered illegal.

Outline of a Linguistic Model for the Study of Emerging Naming

The article presents the outline of a linguistic model that is part of a methodology for identifying and analyzing emerging or referentially unstable namings, such as cultural appropriation, street harassment, climate refugee or ecocide. The model and the method are intended to guide the interpretation – manual or semi-automatic – of the referential expressions, according to the semantic-cognitive type of the designated entity (human entity, social process, event, etc.), but also taking into account interdiscursive negotiations that affect the choice of terms and their uses. The proposed approach is original and is based on several guiding ideas: (1) take into account the complexity of the naming and the entanglement of his different facets which are categorization, meaning, performativity and valuation (desirability, preferences, social norms), (2) target the development phase of the naming (observe how speakers deal with the unstable): for this purpose, we will use the notion of identification between weak or identified entities and strong or reference entities, (3) report in an integrated way the referential elaboration of knowledge, the lexical and semantic elaboration of expressions, and the expression of intersubjective attitudes. The scientific framework combines three main disciplinary areas: automatic language processing (construction and representation of knowledge, reference), semantics (elaboration of meanings) and discourse analysis (interdiscursive elaboration of concepts and terms).

Matera: the Sassi through Trade, Consumption and Tourism

The European Capital of Culture (ECoC) process-event has contributed to amplify the main transformations of the commercial structure in Matera. This paper proposes an analysis of the recent transformation of the historical Sassi neighborhood, aimed at pointing out the changes in trade and consumption practices, considering the effects that the development of tourism, one among the main drivers of the changes occurred, has produced in this area. Indeed, the Sassi neighborhood represents a definitely peculiar commercial and touristic landscape: from the year of designation of Matera as ECoC until today, the neighborhood – already a privileged destination for local tourism – has invested in a decisive reconversion of its commercial spaces, focused on the food & drink segment. These commercial activities are addressed mainly for tourists, therefore the first and most evident result is, actually, the exclusion of the residents. What are the characteristics of such a touristic change? What is the position of these places in the urban context? What are the functions that characterize them? Attempting to answer these questions will enable to highlight the specific characteristics of the Sassi and their development based on the most remarkable forms of touristification.

Oral tradition as emplacement: Ancestral Blackfoot memories of the Rocky Mountain Front

We highlight the significance of process, event, and context of human practice in Indigenous Creation traditions to integrate Blackfoot “Napi” origin stories with environmental, geological, and archaeological information pertaining to the peopling of the Northwestern Plains, where the northern Rocky Mountain Front may have played a prominent role. First, we discuss the potential and limitations of origin stories generally, and Napi stories specifically, for complementing the fragmentary records of early human presence in the Blackfoot homeland. Second, we demonstrate the intimate connection among processes, events, place-making practices, and stories. Last, we aim to expand multivocality in the interpretation of the deep past through an archaeological practice that considers Indigenous philosophies and stories to be as valid as non-Indigenous ones.

The Role of Lobbying in the Decision-Making Process in the European Union

Lobbying in the modern world is becoming part of decision-making processes at the local, state, supranational and global levels. The lobbying process is characterized by the use of various techniques and tools, which is why there are many definitions. In the European Union, it is perceived as a European representation of interests, through which different groups try to influence the decision-making process in the various institutions. Lobbying is often referred to when it is necessary to describe a particular political process, event or phenomenon that has not reached the general public or has remained opaque due to its specific nature. As lobbying becomes increasingly important, this article aims to clarify what lobbying is and what its legitimate and acceptable forms are. It is not without reason that there is a general distrust of the lobbying process and, in particular, of the real intentions of lobbyists. Therefore, many people believe that such activities distort the political process in terms of transparency, integrity and influence. Given the sensitive nature of the topic of lobbying, some good practices from existing lobbying rules at European level will also be considered.

Multi-Dimensional Event Data in Graph Databases

Process event data is usually stored either in a sequential process event log or in a relational database. While the sequential, single-dimensional nature of event logs aids querying for (sub)sequences of events based on temporal relations such as “directly/eventually-follows,” it does not support querying multi-dimensional event data of multiple related entities. Relational databases allow storing multi-dimensional event data, but existing query languages do not support querying for sequences or paths of events in terms of temporal relations. In this paper, we propose a general data model for multi-dimensional event data based on labeled property graphs that allows storing structural and temporal relations in a single, integrated graph-based data structure in a systematic way. We provide semantics for all concepts of our data model, and generic queries for modeling event data over multiple entities that interact synchronously and asynchronously. The queries allow for efficiently converting large real-life event data sets into our data model, and we provide 5 converted data sets for further research. We show that typical and advanced queries for retrieving and aggregating such multi-dimensional event data can be formulated and executed efficiently in the existing query language Cypher, giving rise to several new research questions. Specifically, aggregation queries on our data model enable process mining over multiple inter-related entities using off-the-shelf technology.