Parameter Calibration

To ensure the long term sustainability of the Take ecosystem, core policy parameters are periodically reviewed and refined through transparent, data driven processes led by core contributors. Calibration serves to maintain the health, participation balance, and functional integrity of the ecosystem, not to influence token price or speculative outcomes.

Three primary parameter classes are subject to calibration:

1. ELP Allocation Ratio (θ)

The ELP Allocation Ratio (θ) defines the proportion of total contributor-generated fees directed into the Ecosystem Liquidity Pool (ELP) under contributor led frameworks.

• Higher θ values strengthen long-term liquidity and network stability.

• Lower θ values maintain greater operational resources for community and contributor programs.

Calibration Goal: Identify sustainable θ values that preserve liquidity, ecosystem services, and balance across network activities, without targeting market performance or price impact.

2. Emission Allocation Ratios (α, β, γ)

The Emission Allocation Ratios determine how total $TAKE emissions (T_total) are distributed among contributor pools, Buyer, Seller, and Evangelist, during each epoch.

These ratios define strategic emphasis across ecosystem roles:

• Higher α may encourage buyer participation and retention.

• Higher β may enhance liquidity and listing activity.

• Higher γ may expand community engagement.

Constraint: α + β + γ = 1

Calibration Goal: Adjust α, β, and γ based on verified participation data to direct emissions toward high impact activities that increase genuine network usage, without implying any guaranteed return or yield.

3. Activity Weighting Model (Aᵢ structure)

Each contributor’s Activity Score (Aᵢ) measures the quality and magnitude of their ecosystem participation. Weights determine how specific activities influence overall emission outcomes.

Examples:

• Buyer: purchasing verified digital goods/services, providing quality feedback.

• Seller: completing validated trades, maintaining strong reliability metrics.

• Evangelist: staking, onboarding users, publishing educational content, building new tools or utilities.

Calibration Goal: Continuously refine weighting models to prioritize verifiable, high impact actions and suppress low value or repetitive behaviors, ensuring fairness, transparency, and resistance to gaming across contributor roles.

Calibration Process & Transparency

All calibrations are conducted through transparent, rule-based processes published within the contributor framework. Analytical methods may include:

• Cohort Analysis: Identify participation behaviors correlated with long term ecosystem contribution.

• Simulation Environments: Model parameter configurations to stress test stability.

• Empirical Feedback Loops: Use live network data (GMV, activity volume, ELP inflows) to evaluate ecosystem balance.

Indicative Metrics (Non-Exhaustive):

• Ecosystem transaction volume (GMV)

• ELP sustainability ratio (inflows vs. policy targets)

• Active contributor participation rate

• Reward distribution fairness metrics

• Retention and referral conversion rates

These indicators inform calibration proposals but do not represent performance targets or financial commitments.

In essence, parameter calibration in the Take ecosystem is an open, participatory tuning process that evolves logically with contributor behavior. It operates without reliance on, or expectation from the efforts of any centralized entity, preserving both decentralization and compliance integrity.