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Burstiness measures how widely sentence lengths swing across a passage, not how long the average sentence runs. This post explains where the term comes from, how the spread is actually calculated, and why a language model's output tends to settle into a narrow band of lengths.
Perplexity is the number a language model produces to describe how surprised it was by your word choices. This post traces the metric to its 1977 origin, works through the formula, and explains why the same passage can score differently depending on which model is doing the reading.
Universities allow AI assistance when you disclose it. The problem is that AI prose reads as generic and uniform, and university-grade detectors score it accordingly. This guide compares every major AI humanizer on how it rewrites, who it is built for, what it costs, and whether an academic draft survives the pass.
APA, MLA, Chicago and IEEE each answer a ChatGPT citation differently: as an author, a container, a note, or no citation at all. Here is what each one actually requires, and where citation stops and disclosure begins.
Machine-written prose has a signature: predictable words, uniform sentence rhythm, a dash doing the work of a comma, and an argument shape that restates its own heading. Here is what each level actually looks like, with sourced examples instead of a vibe.
A thesis does not read as machine written all at once. It happens section by section, for a different reason each time, so the fix is different too: what actually changes in the abstract, the literature review, the methodology, the results, and the discussion.