sub-modules
Active Learning Handoff
Turn reviewed errors and edge cases into governed learning evidence.
A false rejection is corrected by quality and packaged with the original data, model and review outcome. Training receives useful evidence without silently changing the live model.
What changes
A false rejection is corrected by quality and packaged with the original data, model and review outcome. Training receives useful evidence without silently changing the live model.
data Viz
data View
section: operating-scene
Operational boundary
- What it does
- Turn reviewed errors and edge cases into governed learning evidence.
- What the team gains
- Training receives useful evidence without silently changing the live model.
- What it does not own
- MAXACOR does not train or promote models.
- section
- operational-boundary
Active Learning Handoff
action: Turn reviewed errors and edge cases into governed learning evidence.
mechanism: A false rejection is corrected by quality and packaged with the original data, model and review outcome.
workflow role: A false rejection is corrected by quality and packaged with the original data, model and review outcome.
operational outcome: Training receives useful evidence without silently changing the live model.
maturity: specified
evidence: MAXACOR Part 7, §§4–9.
Section 1
Operations team
Section 2
Engineering team
Section 1
Qualified physical state
Section 2
Current work context
Section 1
Evidence-bearing operational disposition
Section 1
MAXACOR does not train or promote models.