Editing Social Stratification (section)

== <span style="color: #FFFFFF;">Applying</span> ==
'''Modeling 'The Great Gatsby Curve' (Inequality vs. Mobility):'''
<syntaxhighlight lang="python">
def predict_mobility(gini_index):
    """
    Shows the correlation: high inequality usually means low mobility.
    Gini Index: 0 (Equal) to 1 (Unequal)
    """
    if gini_index < 0.3:
        return "High Mobility: The 'Nordic' Model. High chance for poor to rise."
    elif 0.3 <= gini_index < 0.45:
        return "Moderate Mobility: Harder but possible."
    else:
        return "Low Mobility: Class is 'sticky'. Success depends on birth."

# Brazil (High Inequality) vs Denmark (Low Inequality)
print(f"Denmark (Gini ~0.28): {predict_mobility(0.28)}")
print(f"Brazil  (Gini ~0.53): {predict_mobility(0.53)}")
# This demonstrates that as the gap between rungs grows, 
# it becomes harder to climb the ladder.
</syntaxhighlight>

; Dimensions of Inequality
: '''Race and Ethnicity''' → How historical and systemic factors create different economic outcomes for different groups.
: '''Gender Stratification''' → The "Pink Collar" ghetto and the "Glass Ceiling" that prevents women from reaching top positions.
: '''Digital Divide''' → New stratification based on access to high-speed internet and tech skills.
: '''Global Stratification''' → The hierarchy of nations (Global North vs. Global South).
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