Network orchestration, the ability to connect and manage competences across a broad network of relationships, has been recognized as one of the most important meta-capabilities for a networked world (Wind et al. 2008).
In this view health can also be seen as involving a second-order or over-arching meta-capability to achieve a cluster of basic capabilities and functionings.
Through health as a meta-capability, all the ten capabilities are recognized as being part of a cluster and inter-dependent.
There are many other ways to get to health as a basic set of individual capabilities, thus bolstering an argument for seeing health as a meta-capability or ability to achieve a cluster of capabilities.
3 As a result, the health of an individual should be understood as the ability to achieve a basic cluster of beings and doings – or having the overarching capability, a meta-capability, to achieve a set of basic inter-related capabilities and functionings.
The main points to take away from this article is that health as a concept can be defensibly conceived as a meta-capability, the capability to achieve a cluster of basic capabilities to be and do things that reflect a life worthy of equal human dignity.
As a result, the health of an individual should be understood as the ability to achieve a basic cluster of beings and doings or having the overarching capability, a meta-capability, to achieve a set of central or vital inter-related capabilities and functionings.
That is, deep operators allow the programmer to better exploit meta-programming capabilities, leading to a "meta-programming in the large" style.
Firstly, the uniqueness of TRAM general basic architecture, which dynamically integrates an advanced and flexible relational database with parsing and meta-analysis capability, a map graphic displayer and a two-modes ('Map' and 'Cluster') analyzer searching for significantly over/under-expressed genomic regions, starting from any source of global gene expression profiles data.
Unlike other dedicated meta-analysis packages, Meta-Analyst integrates the capabilities to perform meta-analyses of binary or continuous outcomes and diagnostic or prognostic tests, combining the functionality of software such as MIX and Meta-DiSc.
In this second case, an indication of the generalization capabilities of the meta-model is obtained.
