Token structuring and tokeneconomics are among of the most important considerations when designing a blockchain.
For an employee looking for a job in a technology-based company, consider two companies that are exactly the same, with the same team quality and same targeted industry, but one company has a token incentive structure instead of an equity incentive structure, and the token is already traded on an exchange.
The resulting modules are then connected in a token ring structure to form the actual PET system.
Thus Hitchcock invokes the notion of token causal structure for what causal models represent, and suggests that "we can afford to let judgments of token causation be infected by pragmatic criteria without giving up on the objectivity of causation generally: objectivity can be retained at the level of token causal structure" (2007a, p. 504).
That doesn't concern Tech Bureau, because the company does extensive diligence and already provides advice around whether a token sale structure might fall under the jurisdiction of financial regulators.
The original surface form, normalized form (lowercased, etc), lemma, POS tag, chunk tag and lexical resource (dictionary) matching-derived features are generated in standalone and bigram combinations, and token internal structure is captured by character-based n-gram and orthography features.
In the winner-takes-all world of networks, as it shifts to a token-only structure, the time-bombed company provides a financial incentive to the token holders to create a network effect and grow the network through word of mouth & virality.
I'm certain though that the next set of large unicorns will be coming from tech companies with great token incentives structures, in or outside of the U.S.
If the tokens are structured properly for a blockchain, external stakeholders will be directly aligned with the goal of the project.
When tokens are structured basically as the sale of a service or product, they're designed to make sure the various prongs of the test are not triggered.
