IREP

Individual-Referential Evaluation Protocol · open standard · v0.1

I represent myself.

name · photo · age · sex · nationality · address · highest degree · what I have actually done, and how I got here

IREP is an open protocol for hiring and admissions. It evaluates the person — evidence, work, trajectory — and moves every category label to where it belongs: after the decision, in the audit.

Thirty years of unread memos

The research existed. The sector never applied it.

Merely recording your race on a form before a test measurably depressed performance. A checkbox suffices to activate a stereotype.

Steele & Aronson, 1995 · JPSP

Identical CVs, only the name changed: callback rates diverge sharply. Twenty-five years of audit studies show the gap essentially unchanged.

Bertrand & Mullainathan, 2004 · Quillian et al., 2017

France tested anonymous CVs at national scale. Outcomes for immigrant-background candidates got worse — removing labels alone was not a sufficient remedy, and it can remove helpful context too.

Behaghel, Crépon & Le Barbanchon, 2015

The problem was never seeing or not seeing the category. It is the moment we let it speak. IREP adopts the strict separation algorithmic fairness converged toward: category data may support lawful, firewalled audits — never evaluation-stage decisions.

The protocol

Evaluation first. Audit after decision. Firewalled.

STAGE 1

Category-blind, trajectory-rich screening

No name, photo, age, sex, nationality, or credential labels. Full richness of what the person has done — gaps, pivots, self-taught depth included.

STAGE 2

Untimed structured assessment

Bounded window, no per-item pressure. Validated, pre-registered rubrics only. Time pressure measures stress, not competence.

STAGE 3

Decision on evidence

Documented rationale, by evaluators with zero access to category data. Humans decide.

STAGE 4

Firewalled measurement

Category data flows through a separate, firewalled audit channel — voluntary, lawful, analytically unavailable until decisions are final. Contracts and equity audits only.

separate audit channel — unavailable until the decision is final

The individual is the unit of interpretation. The role is the standard of decision. The population is the instrument of audit. And the question is not only “compared to what?” — it is “compared to when?”

For recruiters & talent teams

You could be running this by tomorrow.

No new software, no bigger budget, no permission needed. Four moves on your next role — then climb: Starter (~2 weeks), Aligned (~2 months), Steward (~6 months, audits published). All self-declared, like a license: nobody certifies you, and you answer publicly for it.

Become IREP → Starter Guide (PDF) Get the badges

Offered to the commons

IREP is not a product. It is not a company. It is not an asset to be owned. It is intentionally offered to the commons.

Free, open source, permanently — including for commercial HR vendors building it into their own tools. Behind every hiring decision there are one or several lives engaged. Access to employment, like access to education, is a gateway a society cannot equitably price.

The initiator is the initial steward — not the owner: to document it, test it, and convene the people willing to improve it — before handing stewardship to a non-profit collective.

The honest part. The repo ships a synthetic demonstration — labeled loudly as a demonstration, never a validation: the biases are injected, so detecting them is circular. Real evidence follows the validation plan: retrospective re-scoring, consented parallel pilots, a pre-registered RCT. Near-term claim: IREP selects differently, traceably. “Better” takes longitudinal data — the protocol is judged on its trajectory, as it preaches. Null results get published.

Three circles

It needs people more than it needs code.

Practitioners

Recruiters and headhunters who never trusted the tooling. You are not ambassadors — you are the pilot sites where the head-to-head validation happens.

Open a pilot-site issue →

Researchers

Labor economics, I/O psychology, psychometrics, ML fairness. The field-experiment infrastructure is pre-built; the analysis plans want pre-registering.

Open a research-partner issue →

Voices

People who write about hiring, credentialism and the commons. Read the spec. Criticize it in public — sharp issues are the contribution.

Read & critique →

Not sure which circle is yours? Start where everyone starts: introduce yourself, ask a question, or challenge the spec — in the open.

Join the discussion →