Relationship-based and reflective practice in contemporary child care social work

The renewed interest in relationship-based practice can be understood in the child care social work context as a response to the call to re-focus practice in this field. Relationship-based practice challenges the prevailing trends which emphasize reductionist understandings of human behaviour and narrowly conceived bureaucratic responses to complex problems. In so doing practitioners engaged in relationship-based practice need to be able to cope with the uniqueness of each individual's circumstances and the diverse knowledge sources required to make sense of complex, unpredictable problems. This paper argues that if relationship-based practice is to become an established and effective approach to practice, practitioners need to develop their reflective capabilities. An outline of contemporary understandings of relationship-based and reflective practice is offered and findings from doctoral research drawn on to identify how reflective practice complements relationship-based practice. The product of this complementary relationship is enhanced understandings across four aspects of practice: the client, the professional self, the organizational context and the knowledges informing practice. The paper concludes by acknowledging the inextricably interconnected nature of relationship-based and reflective practice and emphasizes the importance of practitioners being afforded opportunities to practise in relational and reflective ways

The twin hypotheses

The Brain Code (BC) relies on several essential concepts that are found across a range of physiological and behavioral functions. The Fundamental Code Unit (FCU) assumes an abstract code unit to allow for a higher order of abstractions that informs information exchanges at the cellular and genetic levels, together the two hypotheses provide a foundation for a system level understanding and potentially cyphering of the Brain Code [1–3]. This paper discusses an organizing principle for an abstract framework tested in a limited scope experimental approach as a means to show an empirical example of cognitive measurement as well as a framework for a Cortical Computation methodology. Four important concepts of the BC and FCU are discussed. First, the principle of activation based on Guyton thresholds. This is seen in the well-known and widely documented action potential threshold in neurons, where once a certain threshold is reached, the neuron will fire, reflecting the transmission of information. The concept of thresholds is also valid in Weber minimum detectable difference in our sensing, which applies to our hearing, seeing and touching. Not only the intensity, but also the temporal pattern is affected by this [4]. This brings insight to the second important component, which is duration. The combination of both threshold crossing and duration may define the selection mechanisms, depending on both external and intrinsic factors. However, ranges exist within which tuning can take place. Within reason it can be stated that no functional implication will occur beyond this range. Transfer of information and processing itself relies on energy and can be described in waveforms, which is the third concept. The human sensing system acts as transducer between the different forms of energy, the fourth principle. The aim of the brain code approach is to incorporate these four principles in an explanatory, descriptive and predictive model. The model will take into account fundamental physiological knowledge and aims to reject assumptions that are not yet fully established. In order to fill in the gaps with regards to the missing information, modules consisting of the previous described four principles are explored. This abstraction should provide a reasonable placeholder, as it is based on governing principles in nature. The model is testable and allows for updating as more data becomes available. It aims to replace methods that rely on structural levels to abstraction of functions, or approaches that are evidence-based, but across many noisy-elements and assumptions that outcomes might not reflect behavior at the organism level. </p