Semantic framework

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Semantic framework is a rudimentary semantic network that provides the scaffolding for successive layers of new knowledge. Universal and abstract semantic framework is best built with semantic learning. Semantic learning is guided by the learn drive and provides memories of high coherence. Those memories are less sensitive to interference and may receive dedicated molecular or neural protection early in development at times of rampant knowledge darwinism.

Using the jigsaw puzzle metaphor, we can envisage the semantic framework as those portions of the puzzle that have already coalesced and are ready to receive more jigsaw pieces.

Semantic framework is often referred to as prior knowledge.

When semantic learning is not possible, we can employ mnemonic techniques that can later form pseudo-semantic frameworks based on pattern recognition. For example, the brain will fluently recognize the shape of a Chinese ideogram without the reference to the originally used mnemonic anchor(s). Such a pattern recognition memory will become stable through frequent use, and does not need its own semantic framework beyond its own higher-level connections in the concept network of the brain (e.g. character-meaning associations).

The power of free learning is partly rooted in the fact that the same abstract knowledge can be represented by different concept network architectures. This is why the sequence of learning determines the layering and the ultimate structure of knowledge. Homogenized learning at school, aims at identical models and identical architectures. In reality, schooling collapses due to the natural differentiation of concept network architectures. Instead of paddling against the river of diverging conceptualization processes, we should let each student build her own semantic framework for each abstract model. This is the key to human innovation.

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This glossary entry is used to explain "I would never send my kids to school" (2017-2024) by Piotr Wozniak