Stream implementations can and do ignore backpressure; and some spec-defined features explicitly break backpressure. tee(), for instance, creates two branches from a single stream. If one branch reads faster than the other, data accumulates in an internal buffer with no limit. A fast consumer can cause unbounded memory growth while the slow consumer catches up, and there's no way to configure this or opt out beyond canceling the slower branch.
Instead of tee() with its hidden unbounded buffer, you get explicit multi-consumer primitives. Stream.share() is pull-based: consumers pull from a shared source, and you configure the buffer limits and backpressure policy upfront.
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2. 可堆叠微凭证（Stackable Credentials）： 学习者可以先获得短期微凭证或行业认证证书，在工作中分阶段积累，最终转化为完整的学位。这种模式将前期投入风险降至最低，特别受到成年转行者的青睐 [43, 51]。
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