# Active Learning Handoff

Canonical URL: https://babadook.tech/sub-modules/maxacor-active-learning
Entity: sub-modules
Content hash: a660206fd0d72c4423382469b6210656e11ce31b9a727fae3cd345afd9f60f2e

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.

## Relationships

### products

- MAXACOR — https://babadook.tech/products/maxacor

### modules

- Embodied Intelligence and Learning — https://babadook.tech/modules/maxacor-embodied-intelligence-learning