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Meta (from the μετά, meta, meaning 'after' or 'beyond') is an adjective meaning 'more comprehensive' or 'transcending'. [1]In modern nomenclature, the prefix meta can also serve as a prefix meaning self-referential, as a field of study or endeavor (metatheory: theory about a theory; metamathematics: mathematical theories about mathematics; meta-axiomatics or meta-axiomaticity: axioms about ...
Meta most commonly refers to: Meta (prefix), a common affix and word in English ...
The word metagame is composed of the Greek-derived prefix meta– (from μετά, meta, meaning "beyond") and the noun game. [4] The shorthand meta has been backronymed as "Most Effective Tactics Available" to tersely explain the concept.
Metacognition and self directed learning. Metacognition is an awareness of one's thought processes and an understanding of the patterns behind them. The term comes from the root word meta, meaning "beyond", or "on top of". [1]
Meta Platforms, Inc., [10] doing business as Meta, [11] and formerly named Facebook, Inc., and TheFacebook, Inc., [12] [13] is an American multinational technology conglomerate based in Menlo Park, California. The company owns and operates Facebook, Instagram, Threads, and WhatsApp, among other products and services. [14]
Thus metamodeling or meta-modeling is the analysis, construction, and development of the frames, rules, constraints, models, and theories applicable and useful for modeling a predefined class of problems. As its name implies, this concept applies the notions of meta-and modeling in software engineering and systems engineering. Metamodels are of ...
These developments were part of a larger movement (arguably a meta referential turn [13]) which, approximately from the 1960s onwards, was the consequence of an increasing social and cultural self-consciousness, stemming from, as Patricia Waugh puts it, "a more general cultural interest in the problem of how human beings reflect, construct and ...
Indeed, universal meta-knowledge frameworks have to be valid for the organization of meta-levels of individual meta-knowledge. Meta-Knowledge may be automatically harvested from electronic publication archives, to reveal patterns in research, relationships between researchers and institutions and to identify contradictory results.