Mt 5,17-20 can be fully understood in the context of the hermeneutic work of the Jewish rabbis; the words used by Jesus refer to their exegetical methods and to the idea that the Torah cannot be modified. Jesus’ position anticipates one of the main elements of rabbinic Judaism. Given this context, this paper offers a new hypothesis about the original Aramaic version of Jesus’ words on the Torah’s fulfilment, in a time when the Pharisee’s position was starting to impose the importance of oral tradition alongside the written word of God. Using the root gmr Jesus enters into dialogue with contemporary Judaism, putting forward his own idea of fulfilment.

Self-fulfilling prophecy is seen as an important phenomenon linking social perception with social interaction, being in line with the assumption that conviction creates reality. The adoption of such a perspective upgrades the rank of expectations, which being in control of human behaviour, permeate all areas of people’s activity. Within the area of interpersonal interaction, its participants either perceive what is expected of them or make assumptions about expectations on the basis of behaviour which is directed towards them. Following this lead, and referring to the possibility of co-operation between teachers and parents, we are confronted with a question whether within the anticipated interaction parents may cope as well, or as badly as it is expected of them by teachers. This article attempts to answer this question as well as to analyse the relationships between teachers and parents through the prism of the idea of self-fulfilling prophecy, bearing in mind that the phenomenon itself consists of extremely complex interaction of cognitive and behavioural factors.

The paper presents a new elastic scheduling task model which has been used in the uniprocessor node of a control measuring system. This model allows the selection of a new set of periods for the occurrence of tasks executed in the node of a system in the case when it is necessary to perform additional aperiodic tasks or there is a need to change the time parameters of existing tasks. Selection of periods is performed by heuristic algorithms. This paper presents the results of the experimental use of an elastic scheduling model with a GRASP heuristic algorithm.