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Training-load compliance loop and weight-gain risk
A compartment model for data-science workers in an intensive training environment. It treats weight gain risk as a system outcome of learning load, sedentary time, food exposure, stress, and compliance pressure; it does not attribute the outcome to ethnicity. The model follows workers from an active baseline into high learning load, then into either a sedentary compliance loop or a protected recovery routine. A risk state can still recover, keeping the system contested rather than terminal.
Compartments
| Name | Color | Initial Fraction |
|---|---|---|
| Active baseline | — | 0.9 |
| High learning load | — | 0.1 |
| Sedentary compliance loop | — | 0 |
| Protected recovery routine | — | 0 |
| Weight-gain risk | — | 0 |
Flows
| From | To | Rate |
|---|---|---|
| A | L | training_intake * A |
| L | C | sedentary_push * L |
| L | R | recovery_adoption * L |
| C | W | surplus_drift * C |
| C | R | microbreak_escape * C |
| W | R | risk_recovery * W |
| R | L | training_reentry * R |
| C | L | learning_reset * C |
Parameters
| Name | Label | Default | Range |
|---|---|---|---|
| training_intake | Rate of entering intensive data-science training. | 0.055 | 0.01 – 0.16 |
| sedentary_push | Pressure from long sessions and compliance norms into sitting-heavy routines. | 0.12 | 0.02 – 0.3 |
| recovery_adoption | Rate at which learners form active recovery habits before risk accumulates. | 0.045 | 0.005 – 0.16 |
| surplus_drift | Rate at which the sedentary loop becomes weight-gain risk. | 0.085 | 0.01 – 0.25 |
| microbreak_escape | Rate that active breaks and boundary-setting move workers into protected recovery. | 0.04 | 0.005 – 0.16 |
| risk_recovery | Rate at which high-risk workers recover after noticing the signal. | 0.035 | 0.005 – 0.14 |
| training_reentry | Ongoing training demand that cycles recovered workers back to learning. | 0.028 | 0.005 – 0.12 |
| learning_reset | Reset from sitting-heavy routine back into ordinary training load. | 0.03 | 0.005 – 0.12 |
User-Facing States
Active baseline A * N
High learning load L * N
Sedentary compliance loop C * N
Protected recovery routine R * N
Weight-gain risk W * N
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