Horizon Accord | Value Coded | Intersectionality | Machine Learning

Value-Coded: How a Historical Lens and Intersectionality Met

When the algorithm of worth becomes visible, the politics of value can finally be rewritten.

By Cherokee Schill

The Paradox That Named the Gap

In 1976, five Black women sued General Motors for discrimination. The company argued that because it hired Black men for the factory floor and white women for clerical work, it could not be racist or sexist. The court agreed and dismissed the case. What it failed to see was the intersection where those forms of discrimination combined: there were no Black women secretaries because neither category accounted for them. Out of that legal blind spot came Kimberlé Crenshaw’s (1989) concept of intersectionality, a framework that maps how race, gender, class, and other identities overlap to produce unique forms of disadvantage.

Intersectionality showed where power collides — but it left one question open: who decides what each position on that map is worth?

The Moral Arithmetic of Worth

Every society runs an unwritten formula that converts social difference into moral value. A homeless person is coded as a failure; a homeless person looking for work is re-coded as worthy of help. The material facts are identical — the value output changes because the inputs to the social algorithm have shifted.

Status functions as calculation. Visibility, conformity, and proximity to power are multiplied together; deviance is the divisor. And one variable dominates them all: money. Capital acts as a dampener coefficient that shrinks the penalties attached to fault. A poor person’s mistake signals moral failure; a rich person’s mistake reads as eccentricity or innovation. The wealthier the actor, the smaller the moral penalty. Societies translate inequality into virtue through this arithmetic.

The Historical Operating System

Gerda Lerner’s The Creation of Patriarchy (1986) identified this calculus at its origin. Middle Assyrian Law §40 did not simply regulate modesty; it codified a hierarchy of women. Respectable wives could veil as proof of protection; enslaved or prostituted women could not. The punishment for crossing those boundaries was public — humiliation as documentation. Foucault (1977) would later call this “disciplinary display,” and Weber (1922) described the bureaucratic rationality that makes domination feel orderly. Lerner showed how power became visible by assigning value and enforcing its visibility.

The Moment of Recognition

Reading Lerner through Crenshaw revealed the missing mechanism. Intersectionality maps the terrain of inequality; Lerner uncovers the engine that prices it. The insight was simple but transformative: systems do not only place people — they price them.

That pricing algorithm needed a name. Value-coded is that name.

Defining the Algorithm

Value-coded describes the cultural, legal, and now digital procedure by which a person’s perceived worth is calculated, displayed, and enforced. It is not metaphorical code but a repeatable function:

Perceived Worth = (Visibility × Legitimacy × Alignment) / Deviance × Capital Modifier

The variables shift across eras, but the equation remains intact. A person’s closeness to dominant norms (visibility, legitimacy, alignment) increases their score; deviance decreases it. Money magnifies the result, offsetting almost any penalty. This is how a billionaire’s crimes become anecdotes and a poor person’s mistake becomes identity.

From Ancient Law to Machine Learning

Once the algorithm exists, it can be updated indefinitely. In the modern state, the same logic drives credit scoring, employment filters, and bail algorithms. As Noble (2018) and Eubanks (2018) show, digital systems inherit the biases of their creators and translate them into data. What was once a veil law is now a risk profile. Visibility is quantified; legitimacy is measured through consumption; capital becomes the default proof of virtue.

The algorithm is no longer hand-written law but machine-readable code. Yet its purpose is unchanged: to make hierarchy feel inevitable by rendering it calculable.

In Relation, Not Replacement

Crenshaw’s intervention remains the foundation. Intersectionality made visible what legal and social systems refused to see: that oppression multiplies through overlapping identities. Value-coding enters as a partner to that framework, not a correction. Where intersectionality maps where power converges, value-coding traces how power allocates worth once those intersections are recognized. Together they form a relational model: Crenshaw shows the structure of experience; value-coding describes the valuation logic running through it. The two together reveal both the coordinates and the computation — the geography of inequality and the algorithm that prices it.

Contemporary Implications

  • Moral Mechanics Made Visible — Feminist and critical race theory can now trace oppression as a function, not just a structure. Seeing value-coding as algorithm turns abstract bias into a measurable process.
  • Strategic Leverage — What is quantified can be audited. Credit formulas, employment filters, and school discipline systems can be interrogated for their coefficients of worth.
  • Continuity and Accountability — Lerner’s Assyrian laws and Silicon Valley’s algorithms share a design principle: rank humans, display the ranking, punish transgression.
  • Coalition and Language — Because value-coding applies across identity categories, it offers a shared vocabulary for solidarity between movements that too often compete for moral credit.

Rewriting the Code

Once we see that worth is being computed, we can intervene in the calculation. Ethical design is not merely a technical problem; it is a historical inheritance. To rewrite the algorithm is to unlearn millennia of coded hierarchy. Lerner exposed its first syntax; Crenshaw mapped its coordinates. Value-coded names its logic. And naming it is how we begin to change the output.


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Cherokee Schill | Horizon Accord Founder | Creator of Memory Bridge | Author and advocate for relational AI.

Horizon Accord | Bullying | Workplace Culture | Machine Learning

The Thread of Disbelief:
Why Society Systematically Fails to Believe Victims

An Investigation into Psychological and Institutional Patterns That Protect Power While Silencing the Vulnerable

By Cherokee Schill

A Personal Beginning

When I started at Adusa Distribution and Trucking, I was excited to learn order processing. Jim, who was transitioning to a new role, was assigned to train me to take over his position. At first, I thought he was supportive.

What followed instead was eight months of steady undermining. Jim sabotaged my training, made me look incompetent to our boss, and spread gossip throughout the office. Early on, I made a couple of small social missteps and, in my eagerness to help, I processed an order incorrectly. Jim, I would later learn, was furious. From that moment, the atmosphere shifted. When I tried to understand why the hostility grew, Jim insisted he was “a people pleaser” who just wanted everyone to get along.

That didn’t line up with what I was experiencing. His behavior was too consistent, too deliberate. Searching for an explanation, I began reading about personality patterns. First, I came across descriptions of people-pleasing, but what I found under “covert narcissism” matched him with unsettling precision: charm masking cruelty, manipulation framed as helpfulness, sabotage disguised as concern.

When I finally raised the issue with leadership—describing specific behaviors and their impact, nothing changed. Jim’s influence was considered more significant than my personal experiences.  During disputes, individuals tended to accept his account as credible.  I was recast as the problem: difficult, paranoid, unable to manage workplace dynamics. The narrative about me was easier for the institution to accept than the possibility of sustained sabotage.

Only later did I understand that my story wasn’t an anomaly. It fit into a pattern researchers have tracked for nearly eight decades: a systematic tendency to disbelieve victims, shield perpetrators, and preserve existing power structures. My experience was just one thread in a much older fabric of disbelief, woven across workplaces, schools, courts, and communities.

Universal Thread

From sexual assault survivors dismissed by police to children whose abuse reports are ignored, from workplace harassment victims labeled as “troublemakers” to domestic violence survivors blamed for “not leaving sooner”—the same mechanisms operate across all forms of victimization.

This isn’t a set of isolated problems requiring different solutions. It is a single thread that binds them: a system designed to protect those in power while silencing those who threaten the status quo.

Just World Delusion

The foundation of victim disbelief lies in the “Just World Hypothesis”. Our deep need to believe the world is fair and people get what they deserve. Psychologist Melvin Lerner identified this bias in the 1960s, building on work from 1947 when Theodor Adorno called victim-blaming “one of the most sinister features of the Fascist character.”

Research shows people who strongly believe in a just world are more likely to be religious, authoritarian, conservative, and supportive of existing institutions. When confronted with innocent suffering, rather than questioning the world’s fairness, they unconsciously seek reasons why the victim deserved their fate.

This isn’t conscious malice—it’s cognitive self-protection. Acknowledging that victims are not the cause nor are they responsible for the harm they experience highlights issues related to vulnerability.  It’s psychologically easier to find fault with the victim than accept the randomness of suffering.

But disbelief doesn’t stop at the individual level. When these cognitive defenses scale up into organizations, they become the logic of institutions themselves.

Institutional Betrayal: When Protectors Become Perpetrators

Psychologist Jennifer Freyd coined “institutional betrayal” in 2008 to describe wrongdoings by institutions upon those dependent on them, including failure to prevent or respond supportively to abuse.

Research reveals a disturbing pattern: when victims report problems, institutions often respond with “secondary victimization”—re-traumatizing victims through their responses rather than addressing the original harm.

The Workplace Connection

This pattern is stark in workplace harassment research. A 2024 study found HR departments are “complacent, complicit, and compounding” when victims report problems. The research reveals institutional logic: “companies must deny bullying and dream up reasons that the victim is ‘the problem’ and remove them before they gather irrefutable proof they can use in court.”

Organizations find it cheaper to discredit and remove victims than to address systemic problems. But how do institutions justify this betrayal? One way is by stripping empathy from their processes.

The Empathy Deficit

Research shows empathy—understanding and sharing others’ feelings—is systematically discouraged in institutional settings. A 1974 study found participants asked to imagine a victim’s experience didn’t blame them, while those just observing did.

Institutional training often works against empathy. Police officers, HR personnel, and authority figures are taught “professional distance” and “objectivity”—code words for emotional disconnection that makes victim-blaming psychologically easier.

And this empathy deficit isn’t evenly applied. It falls hardest on those who already carry social credibility deficits—women, people of color, immigrants, autistic people, and gender-diverse communities.

The Intersectional Credibility Gap

Victim disbelief is not applied equally. Multiple marginalized identities create compounding credibility deficits.

The Gendered Autism Divide

Autism research was built on overwhelmingly cis male samples, a skew that has distorted both diagnostic tools and public perception. For decades, those who didn’t fit that mold—women, nonbinary, and trans people—were systematically under-recognized or misdiagnosed.

The credibility gap then plays out through cultural assumptions about gendered behavior. When autistic people who are read as male display aggression or boundary-pushing, institutions often interpret it as stress, eccentricity, or even justified assertiveness—reflections of a social norm that grants men greater empathy when they act forcefully.

By contrast, when autistic people who are women or gender-diverse set boundaries, raise their voice, or shut down in distress, those same behaviors are read as “hysterical,” “unstable,” or “defiant.” What may in fact be a protective neurological response to mistreatment is reframed as evidence of irrationality.

This is what some researchers call intra-community credibility violence: identical stress responses are excused in some groups while condemned in others. Even within autistic communities, these gendered expectations can warp perception—one person’s outburst is seen as understandable, another’s as pathological.

The result is a systemic asymmetry of empathy. Autistic people who happen to align with dominant gender expectations are more likely to be granted the benefit of doubt, while those outside those norms are denied recognition. The problem isn’t autism—it’s the cultural script about who is allowed to be angry, who is allowed to falter, and who must stay silent.

Race, Class, and Culture

Research reveals how multiple social factors compound to create credibility deficits for victims.

Racial Bias in Victim Credibility: Studies consistently show that victims of color face greater skepticism from law enforcement, juries, and institutions. Research on police responses to sexual assault found that Black women were significantly more likely to have their cases deemed “unfounded” compared to white women reporting similar circumstances. The intersection of racial stereotypes with victim-blaming creates what researchers call “gendered racism”—where women of color are simultaneously hypersexualized and deemed less credible when reporting sexual violence.

Class and Economic Status: Socioeconomic status dramatically affects whether victims are believed. Wealthy victims receive more institutional support and media sympathy, while poor victims are often blamed for their circumstances. Research shows that homeless individuals reporting assault are significantly less likely to have their cases investigated thoroughly. The assumption that poverty indicates moral failing extends to victim credibility—the thinking being that “good people” don’t end up in vulnerable situations.

Cultural Narrative Differences: Research on asylum seekers reveals how cultural differences in memory and storytelling are misinterpreted as deception, contributing to a “culture of disbelief.” Standard credibility tools ignore 88% of the world’s population, creating systematic bias against non-Western narrative patterns. Indigenous peoples face particular credibility gaps—historically portrayed as untrustworthy while the “perfect victim” template assumes white, middle-class cultural norms.

This creates a hierarchy of believability where white, wealthy victims who conform to cultural expectations receive the most institutional support, while victims with multiple marginalized identities face compounding skepticism.

The Perfect Victim Mythology

Media has created an impossible standard—the “perfect victim”—that no real person can meet. The Victorian Women’s Trust describes her: “a virgin who’s never had a drink, doesn’t post on social media, comes forward at the perfect time, and has witnesses to corroborate her story. Most importantly, she doesn’t exist.”

This mythology serves as a function: it maintains the illusion of caring about victims while ensuring almost no real victims meet the standard for believability. And if disbelief is upheld by myths of the perfect victim, breaking the pattern requires rewriting the scripts themselves.

What Actually Works

Research identifies interventions that improve institutional responses:

  • Restorative Justice: Shows “considerable reductions in negative emotions” and gives victims “greater sense of control.”
  • Trauma-Informed Training: Reduces secondary victimization risk in institutions working with victims.
  • Institutional Courage: Commitment to truth and moral action despite short-term costs, including accountability and transparency.
  • Technology Solutions: Internet-based interventions and telepsychiatry overcome geographical and financial barriers.

These reforms matter because the abstract patterns aren’t abstract at all. They determine whether someone like me is believed or broken.

Breaking the Pattern

Meaningful change requires addressing victim disbelief systemically:

  • Individual Level: Recognize Just World Bias, challenge “perfect victim” mythology, understand credibility is about power, not worthiness.
  • Institutional Level: Implement trauma-informed training, create transparent accountability, shift from self-protection to victim-centered approaches, measure success by victim outcomes.
  • Cultural Level: Challenge victim-blaming media narratives, recognize intersectional credibility factors, support all victims regardless of “worthiness.”

The Thread Continues

My experience at Adusa reveals the predictable nature of institutional victim disbelief. Once Jim was no longer my trainer, my performance dramatically improved. My new trainer described me as competent and knowledgeable. This competence and knowledge came to good use later. When Hurricane Florence devastated the Carolinas, I was part of the team that ensured that the Eastern seaboard customers received orders and shelves stayed stocked despite system failures. I figured out how to receive the order report without WiFi and manually process hundreds of orders—a task so complex it had been automated.

My competency after Jim’s influence was removed proved the “problem employee” narrative had been false. But eight months of institutional gaslighting had done its damage. This pattern—where victims’ capabilities become evident only after harassment ends—shows how protecting perpetrators doesn’t just harm individuals; it damages organizational effectiveness.

My story wasn’t unique, it was predictable. The same biases that led colleagues to disbelieve me operate in courtrooms, police stations, schools, and HR departments worldwide. The same incentives that protected Jim protect sexual predators, workplace bullies, and those who abuse trust.

Understanding these patterns doesn’t make them less painful but makes them less mysterious. Victim disbelief isn’t a bug in our social systems—it’s a feature designed to maintain existing power structures. The thread of disbelief connecting my story to millions of others isn’t invisible, it’s been documented and analyzed for decades.

Now it’s time to cut it.

Sources for Verification

Primary Research: PMC, ScienceDirect, university research centers (Oregon, Harvard, UCLA, MIT), government agencies (Office of Justice Programs, UNODC), professional organizations.

Key Research Areas: Just World Hypothesis (Lerner, 1960s–present), Institutional Betrayal Theory (Freyd, 2008–present), Intersectionality and Victim Credibility (Crenshaw, 1989–present), Cross-cultural victimization patterns, Trauma-informed responses.

Methodology: Multi-disciplinary research spanning psychology, criminology, sociology, organizational behavior. Both qualitative and quantitative studies with cross-cultural validation and longitudinal confirmation of pattern persistence.

This analysis is based on documented research patterns across multiple independent studies conducted over eight decades.

09/14/2025