Authored Lesson Depth Gate v1
Representative role-family curriculum modules were audited for authored lesson depth: resolved lesson nodes, role fit, level fit, teaching signal density, pedagogy signal, workflow/AI-affordance grounding, practice/rubric links, source-path quality, and preserved GDPval structured model/domain calibration boundaries.
The Single Idea
This gate separates authored lesson depth from simple content coverage, while keeping the GDPval calibration decision in model-review state.
01
Evidence Snapshot
passstatus
48modules
48depth-ready
48role fit
48level fit
48signal density
48pedagogy signal
TrueGDPval held
02
Role Family Lesson Depth
| Function | Title | Status | Modules | Depth Ready | Role Fit | Level Fit | Gaps |
|---|---|---|---|---|---|---|---|
| administration | assistant store manager | pass | 4 | 4 | 4 | 4 | none |
| customer_success | account manager | pass | 4 | 4 | 4 | 4 | none |
| data_analytics | data analyst | pass | 4 | 4 | 4 | 4 | none |
| design_creative | graphic designer | pass | 4 | 4 | 4 | 4 | none |
| finance | senior accountant | pass | 4 | 4 | 4 | 4 | none |
| legal_compliance | paralegal | pass | 4 | 4 | 4 | 4 | none |
| marketing | marketing manager | pass | 4 | 4 | 4 | 4 | none |
| operations | project manager | pass | 4 | 4 | 4 | 4 | none |
| people_hr | human resources generalist | pass | 4 | 4 | 4 | 4 | none |
| product | product manager | pass | 4 | 4 | 4 | 4 | none |
| sales | sales manager | pass | 4 | 4 | 4 | 4 | none |
| strategy_consulting | leasing consultant | pass | 4 | 4 | 4 | 4 | none |
03
Gap Classification
| Gap | Severity | Count | Next Action |
|---|---|---|---|
| none | - | 0 | No authored lesson depth gaps. |
04
Interpretation
The content coverage gate proves breadth; this gate proves teaching depth.
It also verifies that the GDPval large-rubric calibration packet remains a
structured model/domain decision, with no auto-approval and no public or external runtime.
Where to start
Use the JSONL rows to repair the first module with role-fit, level-fit, or source-path quality gaps, then rerun this gate and validation.
Use the JSONL rows to repair the first module with role-fit, level-fit, or source-path quality gaps, then rerun this gate and validation.