Level 6 · Research preparation teaching kit · Doctoral and independent-research pathway
Metric-engineering research studio
Use the learner record during the live investigation, then use the instructor guide to facilitate comparison, address misconceptions, and assess evidence-bounded reasoning.
Learner lab record
Metric-engineering sequential feasibility gate
Can a proposed metric-engineering program advance from invariant observable to source closure and independent replication without skipping a failed dependency?
Setup
Use the metric stage gate. Declare one invariant mission observable and threshold, then evaluate sensitivity, source realization, numerical convergence, conventional nulls, and replication in their enforced order.
Predict first
- 1. Predict which gate fails first for the current proposal.
- 2. State the quantitative evidence required to reopen that gate.
| Variable | Role | Unit |
|---|---|---|
| Invariant observable and threshold | mission specification | declared physical unit |
| Geometry/source parameters | model inputs | declared |
| Convergence and null residuals | validation diagnostics | dimensionless/observable unit |
| Gate state | dependent decision | hold or advance |
Observation columns
Analyze
- 1. Is the observable coordinate-invariant and instrument-addressable?
- 2. Does the source model close conservation and preparation?
- 3. Are numerical results converged across methods?
- 4. Which conventional null remains closest to the signal?
Conclusion frame
The program is held/advanced at gate ___ because result ___ versus threshold ___; the next admissible work is ___, not ___.
Instructor guide · 80–110 minutes
Teach the investigation, not the interface
Learning target: Researchers enforce ordered geometry, source, numerical, null, and replication dependencies instead of accumulating disconnected plausibility arguments.
Prepare
- • Define one invariant observable and stop rule.
- • Require a source-to-apparatus systems ledger.
- • Prepare an intentionally out-of-order evidence package.
Facilitation moves
- • Reject downstream evidence when an upstream gate is open.
- • Require uncertainties on every threshold comparison.
- • Separate theoretical feasibility from apparatus readiness.
Accessibility and participation
- • Provide a text-based gate state machine.
- • Pair tensor outputs with invariant observable summaries.
- • Use pass/hold labels in addition to color.
Evidence of learning
- • A declared invariant observable
- • An ordered five-gate dossier
- • A quantitative hold or advance decision
Misconception checks
A visually compelling metric simulation establishes source feasibility.
Geometry, realizable stress-energy, preparation, stability, and measurement are separate ordered gates.
Passing four of five gates is nearly equivalent to passing all five.
A failed dependency can invalidate downstream interpretation; stage gates are sequential, not a popularity score.
Extension
Create a competing conventional model that reaches the same observable and design the cheapest discriminating gate.