docs/TIME_SOVEREIGNTY_CALIBRATION_NOTE_v0.1_PHASE_1A.md

# Time Sovereignty Calibration Note v0.1
## Phase 1A — Lₜ/Rₜ National Back-Test Scaffold

**Created and developed by:** Collin D. Weber  
**Framework:** Primordial Calculus / HIR × OAM  
**Role:** Systems Architect / Systems Integrity Steward  

**Status:** Public aggregate calibration plan, not completed empirical validation.

## Purpose

This note defines a narrow, falsifiable Phase 1A scaffold for testing whether aggregate erosion in labor-time retention and rest/recovery bandwidth can be detected before downstream repair-collapse markers rise.

## Variables

- **Lₜ** = labor-time retention
- **Rₜ** = rest / recovery bandwidth
- **T_LR,t = √(Lₜ · Rₜ)**

Full Time Sovereignty extension under development:

```text
S_eff,t = AₜBₜ · Tₜ^η − Pₜ[1 + κ(1 − Tₜ)]
```

## Dataset spine

**Lₜ sources**
- BLS ATUS for time use / work time / work-related travel
- BLS CPS for work hours / multiple-job holding / labor-force pressure
- ACS/PUMS for commute burden / geography / household structure

**Rₜ sources**
- BLS ATUS for sleep/rest/recovery time
- CDC/NCHS/BRFSS for short-sleep and sleep-health proxies
- BLS National Compensation Survey / Employee Benefits for paid leave access

## Derivation method

```text
winsorize → normalize 0–1 → invert harmful indicators → geometric mean → erosion flag
```

## Pseudocode skeleton

```text
for year, location in dataset:
    L_raw = {work_hours, multiple_job_rate, commute_burden, work_travel, schedule_instability}
    R_raw = {sleep_sufficiency, paid_leave_access, recovery_time, short_sleep_inverse, burnout_proxy_inverse}

    L_w = winsorize(L_raw)
    R_w = winsorize(R_raw)

    L_n = normalize(invert_harmful(L_w))
    R_n = normalize(invert_harmful(R_w))

    L_t = geom_mean(L_n)
    R_t = geom_mean(R_n)

    T_LR_t = sqrt(L_t * R_t)

    P_proxy = compute_pressure_markers()

    if dT_LR_t < 0 and P_proxy rising:
        flag_erosion()
```

## Required claim language

Preliminary patterning suggests Lₜ/Rₜ erosion may be detectable before some downstream repair-collapse markers in select periods, but this remains a hypothesis until the full back-test is run.

## Boundary

- aggregate public data only
- no individual risk scoring
- no child profiling
- no carceral prediction loop

## Core test

Can aggregate erosion in labor-time retention and rest/recovery bandwidth be detected before downstream repair-collapse markers rise?

Money is the proxy.  
Time is the substrate.  
Repair is the target.