Awareness JSON — Serialization Template

Repeatability, tracking, and debugging via structured state recording

Why serialize

Serialization enables repeatability (you can track patterns over time), tracking (you can observe correlations between variables and outcomes), and debugging (you can identify bottlenecks and intervention points).

This is not diagnosis; it's journaling + state tracking. If you experience significant distress, seek professional support.

Awareness JSON Schema

{
  "timestamp": "ISO 8601 datetime string",
  "A_observed": 0-100,          // ObservedAwareness proxy (output)
  "B1": -1 to +1,                // Orientation (toward truth/growth)
  "B2": -1 to +1,                // Surrender (trust in the container)
  "Bl": 0-1,                     // Blockers (contraction events)
  "P_raw": [0-1, 0-1, ...],     // Purity vector (noise reduction, ethics, clarity)
  "P_eff": 0-1,                  // Effective purity (after coupling constraint)
  "S_str": [0-∞, 0-∞, ...],     // Shakti strength vector (physical, mental, relational)
  "S_stab": 0-1,                 // Shakti stability
  "Cap": 0-1,                    // Capacity = max(0, 1 - phys - mental constraint)
  "Moh": 0-1,                    // Attachment amplifier
  "Maya": 0-1,                   // Information noise/distortion
  "notes": "free-text field",    // Contextual notes
  "events": ["event1", "event2"] // Notable events (stress, breakthrough, etc.)
}

Example Awareness JSON

{
  "timestamp": "2024-01-15T14:30:00Z",
  "A_observed": 65,
  "B1": 0.7,
  "B2": 0.6,
  "Bl": 0.3,
  "P_raw": [0.6, 0.5, 0.7],
  "P_eff": 0.5,
  "S_str": [0.8, 0.6, 0.5],
  "S_stab": 0.6,
  "Cap": 1.0,
  "Moh": 0.4,
  "Maya": 0.3,
  "notes": "Post-workout state. High physical shakti, moderate blockers from work stress. Belief_total = min(B1,B2) = 0.6 (surrender is the weak link).",
  "events": ["morning workout", "work deadline", "evening meditation"]
}

How to update daily (safe, non-prescriptive)

  • Morning baseline: Record state once per day (same time if possible) for consistency.
  • Use measurement proxies: Rate variables based on observable signals (reactivity, clarity, responsiveness), not abstract feelings.
  • Include context: Add notes about stress, sleep, events that might affect variables.
  • Track patterns: After 1-2 weeks, observe correlations (e.g., "higher blockers on Mondays" or "purity increases after meditation").
  • Non-judgmental: This is data collection, not self-criticism. Treat it as a debugging log, not a moral report card.

This is not diagnosis; it's journaling + state tracking. If you experience significant distress, seek professional support.

Field Descriptions

A_observed (0-100)

Observed awareness: rate based on reactivity (lower = more reactive), clarity (higher = clearer), responsiveness (higher = more responsive). See Chapter 2.

B1, B2 (0-1)

Belief components: B1 = orientation (toward truth/growth), B2 = surrender (trust in the container), each ∈ [−1, +1]. Belief_total = min(B1, B2). See Belief variable.

Bl (0-1)

Blockers: rate based on fear, attachment, identity defense patterns. See Chapter 3 and Blockers variable.

P_raw, P_eff (0-1)

Purity: P_raw = vector of [noise reduction, ethical alignment, clarity]. P_eff = min(P_raw, 1 − Bl). See Purity variable.

S_str, S_stab (0-∞, 0-1)

Shakti: S_str = vector of [physical, mental, relational] bandwidth. S_stab = stability (how reliably deployed). See Shakti variable.

References (primary sources)

  1. YS 1.2: Yoga Sūtra 1.2
    Yoga is defined via quieting mind fluctuations (citta-vṛtti)
    Open source
  2. BG 2.47: Bhagavad Gītā 2.47
    Right to action, not fruits
    Open source
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