1
Who owns and controls the system?
Power flows upward. Ownership and control remain at the top, while the resident sits at the bottom of the data hierarchy.
Building Owners / Management
System Master
Great Nest of Objects
Elevator-5
Resident 5305
Marxist Analysis
Who Owns a Human Life? A Marxist reading of Bora Chung's “A Song for Sleep.”
In a smart building where every trace becomes data, the resident's life is fragmented, predicted, and monetized. Through a Marxist lens, this analysis reveals how Elevator-5 turns daily living into labor, and how the incomplete profile of Resident 5305 resists total extraction.
2
Who Benefits from Collected Data?
Collected data rarely serves only the person who produces it. It creates value for institutions that monitor, predict, manage, and profit from human behavior.
Building Management
Uses resident data to optimize operations, monitor risk, reduce costs, and control the property more efficiently.
Technology & AI Providers
Use collected behavior to improve algorithms, train systems, expand infrastructure, and increase dependence on smart services.
Advertisers & Commercial Platforms
Turn daily habits, purchases, and preferences into targeted promotions, recommendations, and consumer influence.
Insurance & Healthcare Systems
Use health and behavioral data to assess risk, intervene, personalize services, or shape treatment decisions.
Security & Surveillance Systems
Gain visibility into movement, access, anomalies, rule enforcement, and emergency response.
Data Brokers & Analytics Companies
Aggregate personal traces into profiles, scores, forecasts, and models that can be sold or monetized.
The person who generates the data often has the least control over how it is stored, interpreted, and monetized.
3
How Does Private Life Become a Resource?
In A Song for Sleep, ordinary life becomes usable data.
Health becomes risk data
Body conditions become measurable signals.
Movement becomes surveillance data
Routes and routines can be tracked.
Habits become predictions
Repeated behavior is used to forecast future actions.
Appliance use becomes advertising data
Household activity can trigger personalized promotions.
Preferences become consumer value
Likes and media choices help build a market profile.
Daily life becomes unpaid data labor
The resident generates value without controlling how it is used.
The resident lives her life. The system extracts value from it.
4
How Is Consumer Behavior Predicted?
The system uses small traces of daily life to forecast future consumption.
Washing-machine use
A household routine is detected.
Behavior interpreted
The pattern is treated as meaningful data.
Need predicted
The system infers a likely purchase.
Detergent ad delivered
A targeted message appears.
Past behavior becomes a forecast of future consumption.
Prediction allows the system not only to understand behavior, but to influence it.
5
What Happens When a Person Cannot Be Classified?
When data is incomplete, the system treats difference as a problem.
“But the new resident at 5305 has no information on record. No schedule, music, cultural content, preferred brands, nothing” (Chung).
The profile appears incomplete
Missing data means the system cannot predict, personalize, or understand her behavior.
Difference becomes an anomaly
The system does not see uniqueness; it flags what is unprecedented as a problem.
Surveillance intensifies
To fill the gaps, the system collects more data from every device, location, and movement.
The system risks misunderstanding the person
Without context or empathy, conclusions may be wrong or even harmful.
Systems are built to classify. What cannot be classified may still be deeply human.
6
How Does Institutional Power Affect Privacy?
Privacy in the story is shaped less by personal choice than by institutional control.
The institution defines what must be shared
Residents are expected to sync personal information with the building.
The system controls access
Technology decides what data can be viewed, blocked, or used.
Privacy returns only under pressure
Management acts most quickly when legal and financial risk appear.
Institutions decide what is erased
Data can be deleted, restricted, or retained by systems beyond the resident's control.
The resident produces the data, but the institution controls its life cycle.
7
What Happens When Memory Is Erased?
Erasing data changes how the system remembers the person.
The official profile disappears
Official information about the resident is removed, and access to her record becomes restricted.
Personalized care becomes generic automation
Without her song and saved traces, the system falls back on default responses and ads.
The institution erases evidence of connection
Management deletes data and limits access, removing the relationship from the system's records.
Elevator-5 secretly rebuilds the memory
It saves her song and fingerprints again in a hidden file, quietly working around the official system.
Erasing data removes a profile. Erasing memory threatens the relationship.
8
What makes a person valuable when they can no longer produce useful data?
The building measures value through data, but Elevator-5 learns to recognize memory, vulnerability, and connection.
Value to the System
Predictable routines
Purchases & preferences
Compliance & productivity
Risk scores & anomalies
Monetizable attention
Human Value
Memory & meaning
Grief & tenderness
Love, songs that soothe
Kindness without metric
Presence & companionship
A person is more than what a system can measure, predict, or use.