PubMed Health⌕ Search
Home/Archive/PubMed

PubMed · 1476343

Relational typology in groups.

M Viola
View original source ↗Export metadata ↓

Abstract

The aim of this work is to verify, starting from Foulkes' group-analytic perspective, the existence of a link between individual, family and group relational modality on one side, and the many group techniques on the other. This link is well outlined and defined: it is the need to harmonize, to integrate the different parts of the individual, the family, the group. The satisfaction of this need leads to well-being; its dissatisfaction leads to disorders and to the consequent relational modality. In particular, the lack or the reduction of the integrative and associative capacity leads to psychosis, while the disharmony of the different psychical functions leads to neurosis, and the body disharmony leads to psychosomatic disorders. Following Foulkes' group-analytic perspective, the author works out a new definition of man. Man is the final function of all the body functions.

Explore related subjects

ClassificationFamily TherapyGroup StructureHumansInterpersonal RelationsModels, PsychologicalPhysician-Patient RelationsPsychotherapy, GroupSocial IdentificationJournal Article

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

M Viola. 1992. Relational typology in groups.. https://pubmed.ncbi.nlm.nih.gov/1476343/

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

PubMed2007

Development of an ecologic marine classification in the new zealand region.

We describe here the development of an ecosystem classification designed to underpin the conservation management of marine environments in the New Zealand region. The classification was defined using multivariate classification using explicit environmental layers chosen for their role in driving spatial variation in biologic patterns: depth, mean annual solar radiation, winter sea surface temperature, annual amplitude of sea surface temperature, spatial gradient of sea surface temperature, summer sea surface temperature anomaly, mean wave-induced orbital velocity at the seabed, tidal current velocity, and seabed slope. All variables were derived as gridded data layers at a resolution of 1 km. Variables were selected by assessing their degree of correlation with biologic distributions using separate data sets for demersal fish, benthic invertebrates, and chlorophyll-a. We developed a tuning procedure based on the Mantel test to refine the classification's discrimination of variation in biologic character. This was achieved by increasing the weighting of variables that play a dominant role and/or by transforming variables where this increased their correlation with biologic differences. We assessed the classification's ability to discriminate biologic variation using analysis of similarity. This indicated that the discrimination of biologic differences generally increased with increasing classification detail and varied for different taxonomic groups. Advantages of using a numeric approach compared with geographic-based (regionalisation) approaches include better representation of spatial patterns of variation and the ability to apply the classification at widely varying levels of detail. We expect this classification to provide a useful framework for a range of management applications, including providing frameworks for environmental monitoring and reporting and identifying representative areas for conservation.

Classification↗
PubMed2007

SINEs of progress: Mobile element applications to molecular ecology.

Mobile elements represent a unique and under-utilized set of tools for molecular ecologists. They are essentially homoplasy-free characters with the ability to be genotyped in a simple and efficient manner. Interpretation of the data generated using mobile elements can be simple compared to other genetic markers. They exist in a wide variety of taxa and are useful over a wide selection of temporal ranges within those taxa. Furthermore, their mode of evolution instills them with another advantage over other types of multilocus genotype data: the ability to determine loci applicable to a range of time spans in the history of a taxon. In this review, I discuss the application of mobile element markers, especially short interspersed elements (SINEs), to phylogenetic and population data, with an emphasis on potential applications to molecular ecology.

Classification↗