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6 changes: 6 additions & 0 deletions README.md
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Veiled Dominion's four-player rules authority remains [`Loptr-Lab/veiled-dominion-engine`](https://github.com/Loptr-Lab/veiled-dominion-engine). Duet remains a separate accessibility artifact and experimental mechanics lab. See [`RESEARCH_AND_CANON_BOUNDARY.md`](./RESEARCH_AND_CANON_BOUNDARY.md).

This repository is also the contributor on-ramp within the wider Loptr Lab
ecosystem. Read [`ROLE_IN_ECOSYSTEM.md`](./ROLE_IN_ECOSYSTEM.md) before describing
how training work relates to narrative, research, or production evidence.

## 📍 State Workforce & Vocational Rehabilitation Intake

State workforce agencies (VR offices, local Workforce Development Boards) operate under different application workflows and funding eligibility rules.
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**Program sponsor:** Loptr Lab
**Questions:** questions@loptrlab.com

Wider pathways: [ibloud.github.io/collaborate](https://ibloud.github.io/collaborate/)


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34 changes: 34 additions & 0 deletions ROLE_IN_ECOSYSTEM.md
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# Training — Role in the Ecosystem

## Classification

**Contributor on-ramp · workforce-training experiment · noncanonical technical artifact**

This repository helps contributors demonstrate systems reasoning before working on scoped production tasks. It also provides evidence for Loptr Lab's practice research into onboarding, evaluation, accessibility, knowledge transfer, and founder-led production.

It does not grant academic credit, employment, compensation, revenue share, game canon authority, or access to private project materials.

## How training advances the practice

| Training evidence | Possible next contribution |
|---|---|
| Passing engine contracts and clear design notes | Scoped Veiled Dominion engine issue |
| Balance analysis and playtest documentation | Systems-design research task |
| Accessible technical-art prototype | Accessibility review or rendering experiment |
| Strong archive or documentation work | Provenance and continuity task |

Movement into another repository requires a separate scoped issue, maintainer approval, and written terms appropriate to the work.

## Boundaries

- Training abstractions are not Veiled Dominion canon.
- Candidate results are evidence, not promises of selection or work.
- Personal disability, benefits, housing, medical, or financial records must not be committed.
- Academic placements require prior institutional and project approval.
- Paid or revenue-sharing work requires a separate signed agreement.

## Start points

- [Creative ecosystem](https://ibloud.github.io/ecosystem/)
- [Collaboration pathways](https://ibloud.github.io/collaborate/)
- [Canonical engine](https://github.com/Loptr-Lab/veiled-dominion-engine)
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