babylon.config.defines.organizations

Organization model, lifecycle, and atomic action verbs.

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

`CommunityDefines`(**data)	Hypergraph community layer coefficients (Feature 022).
`LifecycleDefines`(**data)	D-P-D' Lifecycle Circuit coefficients (Feature 030).
`MobilizeDefines`(**data)	Configuration for MOBILIZE verb organizational actions.
`MoveDefines`(**data)	MOVE verb coefficients.
`NegotiateDefines`(**data)	NEGOTIATE verb coefficients.
`OrganizationDefines`(**data)	Organization system tunable coefficients (Feature 031).

class babylon.config.defines.organizations.CommunityDefines(**data)[source]

Bases: BaseModel

Hypergraph community layer coefficients (Feature 022).

Controls alpha-smoothing decay rates for community state, solidarity potential computation bonuses and penalties, and infrastructure maintenance parameters.

Parameters:

heat_decay_alpha (float)
cohesion_decay_alpha (float)
infrastructure_decay_alpha (float)
community_overlap_bonus (float)
rent_differential_penalty (float)
core_organizer_maintenance_factor (float)

model_config: ClassVar[ConfigDict] = {'frozen': True}: Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

heat_decay_alpha: float

cohesion_decay_alpha: float

infrastructure_decay_alpha: float

community_overlap_bonus: float

rent_differential_penalty: float

core_organizer_maintenance_factor: float

class babylon.config.defines.organizations.LifecycleDefines(**data)[source]

Bases: BaseModel

D-P-D’ Lifecycle Circuit coefficients (Feature 030).

36 tunable parameters for intergenerational class reproduction. All defaults have documented provenance (CDC, Census, Chetty, etc.).

The legitimation weight ranking is a design invariant reflecting authorial political judgment; individual values are tunable but the ordinal ranking is not.

See also

specs/030-dpd-lifecycle-circuit/data-model.md: Full provenance table.

Parameters:

birth_rate (float)
rate_d_to_p (float)
rate_p_to_d_prime (float)
rate_d_prime_to_death (float)
initial_pop_d_frac (float)
initial_pop_p_frac (float)
initial_pop_d_prime_frac (float)
pension_coverage_rate (float)
home_ownership_rate (float)
ss_replacement_rate (float)
healthcare_security (float)
retirement_confidence (float)
legit_w_home_ownership (float)
legit_w_healthcare_security (float)
legit_w_retirement_confidence (float)
legit_w_pension_coverage (float)
legit_w_ss_replacement (float)
legitimation_blend_weight (float)
legitimation_crisis_threshold (float)
legitimation_unstable_threshold (float)
pareto_alpha (float)
care_cost_fraction (float)
mobility_base_rate (float)
mobility_base_rate_p75 (float)
mobility_racial_gap (float)
carceral_transition_modifier (float)
early_mortality_modifier (float)
baseline_gini (float)
poverty_share (float)
employment_rate (float)
single_parent_fraction (float)
college_rate (float)
ideology_caregiver_weight (float)
ideology_institutional_weight (float)
ideology_regression_coefficient (float)
sandwich_squeeze_threshold (float)

model_config: ClassVar[ConfigDict] = {'frozen': True}: Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

birth_rate: float

rate_d_to_p: float

rate_p_to_d_prime: float

rate_d_prime_to_death: float

initial_pop_d_frac: float

initial_pop_p_frac: float

initial_pop_d_prime_frac: float

pension_coverage_rate: float

home_ownership_rate: float

ss_replacement_rate: float

healthcare_security: float

retirement_confidence: float

legit_w_home_ownership: float

legit_w_healthcare_security: float

legit_w_retirement_confidence: float

legit_w_pension_coverage: float

legit_w_ss_replacement: float

legitimation_blend_weight: float

legitimation_crisis_threshold: float

legitimation_unstable_threshold: float

pareto_alpha: float

care_cost_fraction: float

mobility_base_rate: float

mobility_base_rate_p75: float

mobility_racial_gap: float

carceral_transition_modifier: float

early_mortality_modifier: float

baseline_gini: float

poverty_share: float

employment_rate: float

single_parent_fraction: float

college_rate: float

ideology_caregiver_weight: float

ideology_institutional_weight: float

ideology_regression_coefficient: float

sandwich_squeeze_threshold: float

class babylon.config.defines.organizations.MobilizeDefines(**data)[source]

Bases: BaseModel

Configuration for MOBILIZE verb organizational actions.

Parameters:

mobilize_cl_cost (float)
min_consciousness (float)
turnout_per_sl (float)
solidarity_amplification_per_edge (float)
heat_generation_per_demonstrator (float)
base_agitation_gain (float)
strike_value_disruption_factor (float)
max_demonstrators_before_backfire (int)
backfire_heat_multiplier (float)
backfire_agitation_gain (float)

model_config: ClassVar[ConfigDict] = {'frozen': True}: Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

mobilize_cl_cost: float

min_consciousness: float

turnout_per_sl: float

solidarity_amplification_per_edge: float

heat_generation_per_demonstrator: float

base_agitation_gain: float

strike_value_disruption_factor: float

max_demonstrators_before_backfire: int

backfire_heat_multiplier: float

backfire_agitation_gain: float

class babylon.config.defines.organizations.MoveDefines(**data)[source]

Bases: BaseModel

MOVE verb coefficients.

Parameters:

expand_presence_split (float)
minimum_reception (float)
relocation_withdrawal_ticks (int)
expansion_edge_strain (float)
evasion_base_probability (float)
reacquire_ticks (int)
distance_ap_surcharge (int)

expand_presence_split: float

minimum_reception: float

relocation_withdrawal_ticks: int

expansion_edge_strain: float

evasion_base_probability: float

reacquire_ticks: int

distance_ap_surcharge: int

model_config: ClassVar[ConfigDict] = {}: Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

class babylon.config.defines.organizations.NegotiateDefines(**data)[source]

Bases: BaseModel

NEGOTIATE verb coefficients.

Parameters:

interest_weight (float)
leverage_weight (float)
institutional_leverage_weight (float)
negotiate_solidarity_increment (float)
betrayal_base_rate (float)
leverage_threshold_for_institutions (float)

interest_weight: float

leverage_weight: float

institutional_leverage_weight: float

negotiate_solidarity_increment: float

betrayal_base_rate: float

leverage_threshold_for_institutions: float

model_config: ClassVar[ConfigDict] = {}: Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

class babylon.config.defines.organizations.OrganizationDefines(**data)[source]

Bases: BaseModel

Organization system tunable coefficients (Feature 031).

14 parameters controlling consciousness effects, intelligence methodology ceilings, cohesion mechanics, credibility defaults, and capacity factors.