babylon.config.defines.economy_class

Class composition and accumulation dynamics (FRED DFA-derived).

Spec 058: extracted from the historical babylon.config.defines monolith. Re-exported via babylon.config.defines.__init__; composed into GameDefines in babylon.config.defines._assembler.

Classes

ClassDynamicsDefines(**data)	Class dynamics coefficients (FRED DFA-derived, Feature 016).
ClassSystemDefines(**data)	Unified class system coefficients (Feature 038).
RentCircuitDefines(**data)	Parameters for ground rent extraction in Volume III equalization (Feature 043).

class babylon.config.defines.economy_class.ClassDynamicsDefines(**data)

Bases: BaseModel

Class dynamics coefficients (FRED DFA-derived, Feature 016).

Parameters fitted to FRED Distributional Financial Accounts (2015-2025) for class wealth flow dynamics.

Parameters:

• alpha_21 (float)

• gamma_3 (float)

• equilibrium_w1 (float)

• equilibrium_w2 (float)

• equilibrium_w3 (float)

• equilibrium_w4 (float)

• alpha_41 (float)

• alpha_31 (float)

• alpha_32 (float)

• alpha_42 (float)

• alpha_43 (float)

• delta_1 (float)

• delta_2 (float)

• delta_3 (float)

• beta_1 (float)

• beta_2 (float)

• beta_3 (float)

• beta_4 (float)

• omega_1 (float)

• omega_2 (float)

• omega_3 (float)

• omega_4 (float)

model_config: ClassVar[ConfigDict] = {'frozen': True}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

alpha_21: float

gamma_3: float

equilibrium_w1: float

equilibrium_w2: float

equilibrium_w3: float

equilibrium_w4: float

alpha_41: float

alpha_31: float

alpha_32: float

alpha_42: float

alpha_43: float

delta_1: float

delta_2: float

delta_3: float

beta_1: float

beta_2: float

beta_3: float

beta_4: float

omega_1: float

omega_2: float

omega_3: float

omega_4: float

class babylon.config.defines.economy_class.ClassSystemDefines(**data)

Bases: BaseModel

Unified class system coefficients (Feature 038).

Centralizes all tunable coefficients for the unified class system: filtration parameters, home ownership proxy, and the 5x5 class-pair solidarity matrix.

Parameters:

• trust_land_discount (float) – Fed SCF / BIA discount on effective wealth for FIRST_NATIONS trust land property. 0.5 = 50% reduction.

• documentation_exclusion_factor (float) – Discount on effective wealth for UNDOCUMENTED households. 0.6 = 40% reduction.

• equity_factor (float) – Fraction of homeowners with meaningful equity. Calibrated: 65% ownership * 0.6 = 39% ~ 40% LA share.

• base_class_solidarity (dict[str, dict[str, float]]) – Symmetric 5x5 class-pair base solidarity matrix (15 unique values in upper triangle including diagonal).

model_config: ClassVar[ConfigDict] = {'frozen': True}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

trust_land_discount: float

documentation_exclusion_factor: float

equity_factor: float

base_class_solidarity: dict[str, dict[str, float]]

get_base_solidarity(class_a, class_b)

Symmetric lookup into the class-pair solidarity matrix.

Parameters:

• class_a (str) – ClassPosition name (e.g. “PROLETARIAT”).

• class_b (str) – ClassPosition name (e.g. “LABOR_ARISTOCRACY”).

Return type:

float

Returns:

Base solidarity value, or 0.0 for unknown pairs.

class babylon.config.defines.economy_class.RentCircuitDefines(**data)

Bases: BaseModel

Parameters for ground rent extraction in Volume III equalization (Feature 043).

Parameters:

• absolute_rent_fraction (float)

• differential_rent_elasticity (float)

model_config: ClassVar[ConfigDict] = {'frozen': True}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

absolute_rent_fraction: float

differential_rent_elasticity: float