Registre des algorithmes

Finalité

Rank students for a given role based on verified skills, projects, stages, and academic performance.

Public : Recruiters searching for candidates; subjects have right-to-explanation access.

Données d'entrée utilisées

• •Required skills — from Job posting
• •Preferred skills — from Job posting
• •Student skills (self-declared) — from Student profile
• •Verified projects — from Project + ProfessorEndorsement
• •Stage supervisor ratings — from StageExperience
• •GPA (only if student opted-in public) — from Student profile
  Uniquement sur consentement explicite
• •Graduation year — from Student profile
• •Location — from Student profile

Jamais utilisées

• ✗Gender
• ✗Nationality
• ✗Ethnicity
• ✗Religion
• ✗Age (beyond graduation-year class)
• ✗Photo / any biometric inference
• ✗Private GPA (if student did not opt in)

Pondérations de score

Supervision humaine

Every match can be reviewed by a university administrator who can flag, confirm, or override the decision. Reviews are persisted and reportable.

Vos droits en tant que personne concernée

• →Right to see the explanation for any match concerning you (/matches/[id]/why)
• →Right to request human review
• →Right to object to being listed in match results
• →Right to export all explanations concerning you

Tests de biais

Monthly class parity tests: match-score distributions checked across gender (when self-declared), universities, and degree types. Differences >5% trigger review.

Finalité

Estimate a student's probability of securing a job offer within 6 months post-graduation.

Public : Student and their university career service only. Never shown to recruiters.

Données d'entrée utilisées

• •Verified project count — from Project
• •Stage completions — from StageExperience
• •Supervisor would-hire signal — from StageExperience
• •GPA (opt-in) — from Student profile
  Uniquement sur consentement explicite
• •Skill graph depth — from SkillDelta

Jamais utilisées

• ✗Gender
• ✗Nationality
• ✗Ethnicity
• ✗Religion
• ✗Family background
• ✗Socio-economic data

Pondérations de score

Supervision humaine

Predictions are advisory, never determinative. Career services can contextualize or suppress any prediction the student finds unhelpful.

Vos droits en tant que personne concernée

• →Right to view your own prediction
• →Right to request suppression from your dashboard
• →Right to have the prediction excluded from shared profiles

Tests de biais

Counterfactual tests run on each model revision: does prediction change when protected attributes are swapped? Target drift <2%.