CONCEPT
The Withdrawal Test
The practical procedure for operationalizing the independence ratio — setting the AI tool aside for a deliberate period and observing what the builder can do alone. The only reliable diagnostic for distinguishing scaffolding from prosthesis.
The withdrawal test is the empirical procedure through which the purpose of scaffolding is verified. Because supported and unsupported performances look identical from outside, and because commercial AI tools do not voluntarily implement graduated withdrawal, the learner must conduct her own withdrawal — setting the tool aside for a period, attempting genuine work without it, and observing the result. Segal describes doing exactly this in his epilogue: 'setting the tool aside for hours and working with nothing but a notebook and my own thinking. The results are uneven.' Some days the independent thinking feels sharper than before; other days the blank page feels like a fall from a great height. Both outcomes are data. Both are the kind of evidence Bruner's framework demands — and neither can be collected without the discomfort of deliberate withdrawal.
In The You On AI Field Guide
The test is uncomfortable by design. If the scaffold has been functioning as prosthesis,