AIM Framework glossary
Crowding-Out
Canonical definition
The genus term for the displacement of intrinsic (I) engagement by the operation of the Mimetic (M) channel, one architectural process appearing at three scales that differ only in level and timescale of aggregation: (1) Motivation Crowding-Out, the neural/reward-scale suppression of dopaminergic intrinsic-reward activity when a controlling extrinsic reward is introduced (the empirical effect reviewed by Di Domenico and Ryan, 2017; the Overjustification finding of Self-Determination Theory); (2) the I-Crowding-Out Dynamic, the sectoral-scale displacement of I-engagement by M-intensive activity across a population, through time poverty, attention capture, and institutional reorientation toward observable status-goods; and (3) the individual, real-time scale of the single Operational Loop, at which the Observer's continuous read of the Belief Register and of observable valuing agents crowds out the Thinker's goal-directed generative search, the process whose low-intensity limit is Flow (AIM sense). In every case the Mimetic channel's operation competes with and displaces intrinsic engagement; the three named forms differ only in the scale and timescale at which the displacement is measured, not in mechanism.
Explanation
Crowding-out is the general name for the way wanting-what-others-want pushes out doing-things-for-their-own-sake. It shows up in three places that are really the same thing at different sizes. At the smallest scale, paying someone to do something they already enjoyed can kill the enjoyment, because a controlling reward suppresses the brain's intrinsic-reward signal. At the scale of a whole society, a status economy squeezes genuine-interest activity out of people's time, attention, and institutions. And moment to moment inside one mind, the part that watches other people and tracks where you stand competes for room with the part that imagines and solves problems. Flow is what it feels like when that last, moment-to-moment crowding drops to almost nothing.
Epistemic status
Framework-Specific Construct (genus term). Consolidates the scale-specific uses of "crowding-out" under a single architectural process: Motivation Crowding-Out at the neural scale (established empirically by Di Domenico and Ryan, 2017, and the Overjustification literature) and the I-Crowding-Out Dynamic at the sectoral scale (developed in the Observability-Gradient analysis).