Dynamics in Supervision
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Institutional Affiliation
Dynamics in Supervision
The primary aim of training and education initiatives within the health service psychological field is for preparing competent psychologists for engaging themselves in the provision of professional practice as well as psychological services. Thus, supervision is a necessity since it helps the psychologists within healthcare to be prepared. In the supervision dynamics, there is the adoption of various system concepts in including homeostasis, morphogenesis, and isomorphism.
Homeostasis is the state of steady internal conditions maintained by living things. This dynamic state of equilibrium is the condition of optimal functioning for the organism. It includes many variables, such as body temperature and fluid balance, being kept within certain pre-set limits. An example is when a person has “normal” or “balanced” body temperature whenever there is danger; the temperature tends to rise, signaling the body that there is a problem that needs to be solved (Letort et al. 2019). On the other hand, morphogenesis can be defined as a theoretical concept describing the structural changes in a supervision system. It implies “creation or beginning of the shape” (Sloman, 2017). An example is during the gastrulation clumps within the stem cells that switch off cell-to-cell adhesion to become migratory. Isomorphism elsewhere is a system concept meaning sameness. It is the concept that perception, as well as its underlying representation, tends to be similar due to the affiliated Gestalt qualities. An example is the phi phenomenon that creates flashing lights as a way of creating motion illusion.
In conclusion, isomorphism, morphogenesis, and homeostasis are considered to be an essential system concept within the supervision system. They assist the psychologist in engaging themselves in the provision of professional practice as well as psychological services. The therapists and psychologists need to employ them for effective therapy sessions.
References
Letort, G., Montagud, A., Stoll, G., Heiland, R., Barillot, E., Macklin, P., … & Calzone, L. (2019). PhysiBoSS: a multi-scale agent-based modeling framework integrating physical dimension and cell signaling. Bioinformatics, 35(7), 1188-1196.
Sloman, A. (2017). Why can’t (current) machines reason like Euclid or even human toddlers?.