Canada Indigenous Data Sovereignty + AI in Agrifood cycle — talk-ready findings (July 2026)

Canada Indigenous Data Sovereignty + AI in Agrifood cycle — talk-ready findings (July 2026)

Status. Cycle-level consolidation of substantive findings for talk-building. The 6 new units each have their own “Why this matters for talks” section (load-bearing); the consolidation scout §1 carries the headline finding; this document collapses them into a single navigable talk-ready index.

What changed in this cycle. The Canadian corpus previously had:

• A substantive global IDSov unit (units/indigenous-data-sovereignty.md) with CARE / IEEE 2890-2025 / OCAP framework + Peru/Aotearoa/Mexico operational anchors.
• A US land-grant academic IDSov unit (units/cornell-atkinson-idsov-cluster.md).
• A constraint/critical scout §4 that asserted “No documented Indigenous-led AI agrifood deployment in Canada as of July 2026” — the deepening cycle’s regional substrate scan had surfaced PolArctic + Salmon Vision + CanNor projects, but these were not integrated into the IDSov cell.

This cycle populates the Canadian-specific agrifood IDSov cell substantively. Six new units + 1 unit update + 2 new quote files + 1 quote date correction. The substantive finding:

The Canadian agrifood AI ecosystem has substantive operational deployments from Indigenous-led and Indigenous-partnered organisations that are ahead of the dedicated federal funding instrument for Indigenous-led agrifood AI. PolArctic (peer-reviewed 2025) + Salmon Vision (peer-reviewed 2023) + NEDA AI tool + Inuvik Tech Society + Indigenous Pathfinders in AI (Mila 2025 cohort) are operational. They are funded through non-Indigenous-specific federal instruments (DFO, CanNor, BCSFA, BCSRIF). The framework side is rich (CARE, IEEE 2890-2025, OCAP, FNDGS, NCIAF, IQ); the dedicated Indigenous-led-agrifood-AI funder does not exist. G-313.

1. The framework-deployment funding-instrument gap (headline for critical-lens)

The Canadian Indigenous-led agrifood AI deployments are funded through general rural / fisheries / digital-literacy federal instruments — not through an Indigenous-led-agrifood-AI-specific federal programme.

Talk-ready claims.

• “Canadian Indigenous-led agrifood AI deployments are operational — PolArctic, Salmon Vision, NEDA, Inuvik Tech — but funded through general rural / fisheries / digital-literacy federal instruments, not through Indigenous-led-agrifood-AI-specific programmes.”
• “The framework is rich (CARE, IEEE 2890-2025, OCAP, FNDGS, IQ); the dedicated funder does not exist. The deployments are doing what FNDGS / CARE call for, but the funding mechanism is incidental, not designed.”
• “AAFC Indigenous Agriculture and Food Systems Initiative ($8.5M, 2018-2023) closed with no successor programme named in AI for All (June 2026).”

Anchor units. units/canadian-indigenous-data-sovereignty-agrifood.md, units/polarctic-sanikiluaq-mariculture-ai.md, units/salmon-vision-bc-wild-salmon-ai.md, units/fnigc-first-nations-data-governance-strategy.md.

Archetypes. 05 (critical-lens Indigenous) — primary; 02 (data-sovereignty Canadian) — secondary; 04 (cooperative-alternative) — tertiary.

2. PolArctic Sanikiluaq — Two-Eyed Seeing operational pattern (headline for critical-lens)

PolArctic is the first AI to operationalise Two-Eyed Seeing (Etuaptmumk) for a Canadian Inuit community. Inuktitut + English output; Indigenous Knowledge and Western science integrated as equals. Peer-reviewed in Marine Pollution Bulletin 2025.

Substantive observation: The framework side articulates CARE Principles (Authority to Control, Collective Benefit, Ethics, Responsibility); PolArctic operationalises each principle through community ownership, economic development, multilingual output, and community accountability. The deployment does what the framework articulates but does not name the framework as implementation reference. This is the framework-deployment operationalisation pattern — frameworks articulate; deployments operationalise; alignment is implicit, not explicit.

Talk-ready claims.

• “PolArctic is the first AI to operationalise Two-Eyed Seeing for a Canadian Inuit community — Inuktitut + English output; Indigenous Knowledge and Western science integrated as equals.”
• “PolArctic is peer-reviewed in Marine Pollution Bulletin 2025 — substantive empirical case, not aspirational framing.”
• “PolArctic operationalises the CARE Principles’ ‘Authority to Control’ through Inuit community ownership — without naming the framework.”

Anchor unit. units/polarctic-sanikiluaq-mariculture-ai.md.

Archetypes. 05 — primary; 02 — secondary.

3. Salmon Vision BC — Indigenous-led wild salmon AI (headline for data-sovereignty + regional-cluster-comparison)

Salmon Vision integrates AI with centuries-old Gitanyow fishing weir technology. SFU + Gitanyow Fisheries Authority + Skeena Fisheries Commission. Peer-reviewed in Frontiers in Marine Science 2023. ~90% coho detection accuracy; ~80% sockeye accuracy. 500,000+ frames annotated.

Talk-ready claims.

• “Salmon Vision is data-sovereignty by design — Indigenous-led methodology (Gitanyow fish weir + Indigenous Knowledge) integrated with cutting-edge AI (computer vision, 500,000+ frames).”
• “Frontiers in Marine Science 2023 peer review + 90% coho accuracy puts Indigenous-led wild salmon AI on par with vendor-deployed aquaculture AI — and the Indigenous-led deployment outperforms on community accountability.”
• “Salmon Vision is funded through BCSFA + Ocean AID + DFO — no single Indigenous-led federal programme.”

Anchor unit. units/salmon-vision-bc-wild-salmon-ai.md.

Archetypes. 05 — primary; 02 + 06 — secondary.

4. FNDGS as the operative Canadian framework (headline for data-sovereignty + cooperative-alternative)

The First Nations Data Governance Strategy (FNDGS), submitted to Indigenous Services Canada in 2025 (AFN Resolution 30-2025), is the most authoritative Canadian operational framework for Indigenous data governance at scale. Community-driven, Nation-based national strategy. Plans regional information governance centres (one per region).

Substantive observation: FNDGS — not CARE Principles or IEEE 2890 — is the operative Canadian framework. For AAFC, ISC, regional RDA partners, FNDGS is the reference. CARE is international; IEEE 2890 is international industry standard; FNDGS is Canadian operational.

Talk-ready claims.

• “FNDGS is the operative Canadian Indigenous data governance framework — community-driven, Nation-based, regional implementation.”
• “Regional information governance centres (one per region) are the operational model — this is what the framework-deployment gap looks like in the Canadian institutional layer.”
• “For AAFC to operationalise an Indigenous-led agrifood AI programme, FNDGS is the framework reference — not CARE, not IEEE 2890.”

Anchor unit. units/fnigc-first-nations-data-governance-strategy.md; quote fnigc-fndgs-mission.

Archetypes. 02 — primary; 05 — secondary.

5. NCIAF as the institutional vehicle (headline for cooperative-alternative + critical-lens)

NCIAF (National Circle for Indigenous Agriculture and Food), launched 13 June 2024 with FCC support, is the only named Indigenous-led agrifood organisation with FCC backing and national scope. MOU with CFA signed 2025. President and CEO Kallie Wood; Senior Director Gabrielle Fallu.

Talk-ready claims.

• “NCIAF, launched June 2024 with FCC support, is the institutional anchor for Indigenous-led agrifood in Canada — distinct from US Intertribal Agriculture Council (1987) and Aotearoa NZ Te Mana Raraunga (2015).”
• “NCIAF-CFA MOU 2025 is the substantive institutional recognition of Indigenous-led agrifood in Canada.”
• “NCIAF is positioned to operationalise an Indigenous-led agrifood AI programme if AAFC and ISC were to create one — but no such programme exists (G-313).”

Anchor unit. units/nciaf-indigenous-agrifood-canada.md.

Archetypes. 04 (cooperative-alternative) — primary; 05 — secondary.

6. Mila’s Indigenous AI institutional infrastructure (headline for academic / regional-cluster-comparison)

Mila’s substantive Indigenous AI work comprises three distinct vehicles — convening (Indigenous AI Advisory Circle), education (Pathways to AI with FNTC), capacity-building (Indigenous Pathfinders in AI summer program). The constraint/critical scout §5 framing of “Mila-CSA Indigenous Data Sovereignty Standard” is incorrect — Mila’s Indigenous AI work is institutional infrastructure, not a CSA joint-committee standard.

Substantive observation: The 2nd cohort of Indigenous Pathfinders in AI (2025) presented 8 AI prototypes at Mila on July 15, 2025. Specific agrifood applications are emerging but not yet publicly documented. G-334.

Talk-ready claims.

• “Mila’s Indigenous AI infrastructure is three vehicles — Indigenous AI Advisory Circle + Indigenous Pathfinders in AI + Pathways to AI with FNTC — not a CSA joint-committee standard.”
• “21 participants / 8 AI prototypes in the 2025 Indigenous Pathfinders in AI cohort — substantive Canadian academic capacity-building.”
• “Quebec-anchored Indigenous AI is institutional infrastructure (convening + education + capacity-building), not standards development.”

Anchor unit. units/mila-indigenous-ai-infrastructure.md.

Archetypes. 06 (regional-cluster-comparison) — primary; 04 — secondary.

7. The Ruder-Wittman analytical voice (headline for critical-lens + cooperative-alternative)

Sarah-Louise Ruder (SSHRC PDF, University of Ottawa) + Hannah Wittman (UBC IRES) are the substantive Canadian agrifood data-governance analytical voice. Data-justice framing; CARE principles engagement; 40 workshops + 26 conferences across Western Canada, US, Latin America (2020-2023).

Substantive papers:

• Ruder & Wittman (2025). Agricultural data governance from the ground up. Big Data & Society. Cited 22 times.
• Ruder (2025). Theorizing agricultural data policy and governance. Journal of Peasant Studies. Cited 14 times.
• Duncan, E. et al. (incl. Ruder). (2026). The political economy of agricultural data governance. Journal of Rural Studies. Cited 6 times.
• BCACARN Ethical Data Governance Toolkit (2024) — first documented Canadian agrifood ethical data governance toolkit.

Substantive observation: Ruder-Wittman are the data-governance critical voices, distinct from Neethirajan (Dalhousie; AI-deployed-on-the-farm), Dara (U Guelph; greenhouse AI risk), Charlebois (Dalhousie; pragmatic-critical). These are AI-deployment critical voices; Ruder-Wittman are the data-governance critical voices.

Talk-ready claims.

• “Ruder-Wittman are the substantive Canadian agrifood data-governance analytical voice — distinct from AI-deployment critical voices (Neethirajan, Dara, Charlebois).”
• “Big Data & Society 2025 (cited 22 times) — 40 workshops + 26 conferences across Western Canada, US, Latin America — is the most comprehensive Canadian-context empirical study of agrifood data governance.”
• “Ruder-Wittman data-justice framing provides the substantive Canadian alternative voice — distinct from EU JoinData cooperative framing or US NAPDC cooperative framing.”

Anchor quote. quotes/institutional-mission-statements/ruder-wittman-data-justice-mission.md.

Archetypes. 05 — primary; 04 — secondary.

8. IEEE 2890-2025 — world’s first Indigenous data standard explicitly for AI/ML (headline for critical-lens + international comparison)

IEEE 2890-2025 was approved by the IEEE SA Standards Board on September 10, 2025 and published November 14, 2025. Working Group Chair: Stephanie Russo Carroll (University of Arizona). Critically: explicitly applies to AI/ML industries — per the IEEE Standards Association, the standard “enhances the integrity of that data, and the likelihood of engaged collaborations with data producers in ways that were previously unthinkable” within “data-generated industries, such as artificial intelligence and machine learning” (Udall Center event description, Feb 18, 2026 webinar).

Substantive observation: This is the first formal international standard explicitly for Indigenous data + AI/ML provenance. The standard does not bind Canadian federal practice directly, but it provides the technical specification that vendor-deployed AI systems would need to meet to be CARE-compliant.

Talk-ready claims.

• “IEEE 2890-2025 is the world’s first global standard explicitly for Indigenous data + AI/ML provenance — published November 14, 2025.”
• “Working Group Chair Stephanie Russo Carroll (U Arizona); standard operationalises CARE Principles into industry specifications.”
• “The standard does not bind Canadian federal practice directly — but it provides the technical specification that vendor-deployed AI would need to meet to be CARE-compliant.”

Anchor unit. Existing units/indigenous-data-sovereignty.md (updated). Quote: quotes/institutional-mission-statements/ieee-2890-mission.md (date corrected).

Archetypes. 05 — primary; 02 — secondary.

9. Substantive contested claims surfaced (carry through to talks)

• C-291: “Indigenous-led AI agrifood deployment in Canada does not exist.” Counter: PolArctic (peer-reviewed 2025) + Salmon Vision (peer-reviewed 2023) + NEDA + Inuvik Tech + Indigenous Pathfinders in AI 2025 cohort.
• C-292: “CARE Principles are sufficient for Indigenous AI governance.” Counter: GIDA’s August 2025 “CARE Directs Us Home” communiqué explicitly cautions against treating CARE as a static compliance checklist.
• C-293: “Mila-CSA Indigenous Data Sovereignty Standard exists.” Counter: Mila’s Indigenous AI work is institutional infrastructure, not a CSA joint-committee standard.
• C-294: “Indigenous data sovereignty is a Canada-only framework.” Counter: CARE Principles are international (GIDA members from Aotearoa NZ, Australia, Canada, Finland, Norway, Mexico, Sweden, Tonga and Samoa, US); IEEE 2890-2025 is international.
• C-295: “Two-Eyed Seeing is a metaphor without operational implementation.” Counter: PolArctic is the operational implementation (peer-reviewed 2025).
• C-296: “Indigenous agrifood in Canada has no institutional anchor.” Counter: NCIAF (June 2024) + MOU with CFA (2025).
• C-297: “CARE Principles are the operative Canadian Indigenous data governance framework.” Counter: FNDGS (2025) is the operative Canadian framework; CARE is the international anchor.
• C-298 (new): “Indigenous-led AI infrastructure is not framework-compliant.” Counter: SIKU operationalises NISR + FAIR + CARE explicitly (Nowosad et al. 2025 Arctic Science).
• C-299 (new): “Canadian Indigenous data sovereignty is framework-only, not deployment.” Counter: SIKU is the deployment-side evidence; operational at 125,000+ posts scale (2024-2025 SIKU Annual Report).
• C-300 (new): “Canadian First Nations AI policy is well-developed.” Counter: Wald 2024 + Tu 2025 are the only substantive Canadian First Nations AI policy papers surfaced; FNIGC has no standalone statement on AI.

10. Substantive gaps surfaced (carry through to talks as honesty)

• G-313: No federal or provincial programme specifically funds Indigenous-led agrifood AI deployment.
• G-329: No Indigenous-led agrifood AI deployment with CARE Principles explicit operational framework alignment (deployments do practise the principles but do not name them as implementation frameworks).
• G-330: No Canadian agrifood-data-governance framework explicitly engaging IDSov and Indigenous Food Sovereignty as integrated principles.
• G-331: No Indigenous-led agrifood AI deployment in Quebec (Mila’s Indigenous AI infrastructure is Quebec-anchored but deployments are not documented in agrifood specifically).
• G-332: AAFC Indigenous Agriculture and Food Systems Initiative ($8.5M, 2018-2023) closed; no successor programme in AI for All (June 2026).
• G-333: Indigenous-led agrifood AI readiness assessment for First Nations, Inuit, or Métis agrifood operators not published.
• G-334: Mila’s Indigenous Pathfinders in AI 8 AI prototypes (2025 cohort) — specific agrifood applications not publicly documented.
• G-335: PolArctic production mariculture status post-2022 pilot unclear; project exists but operational scaling model is evolving.
• G-336: Salmon Vision’s stated expansion to a half-dozen new watersheds on B.C.’s North and Central Coast — operational status unclear.
• G-337: NCIAF operational programmes (specific AI deployment, specific training, specific funding flows) not yet publicly documented in detail.
• G-338 (new): No Canadian agrifood-specific analog to SIKU. The Inuit-led digital infrastructure model has not been replicated for agrifood.
• G-339 (new): NCIAF does not have operational digital infrastructure or NISR/CARE-aligned deployment.
• G-340 (new): No Indigenous-language agrifood LLM deployed. The NRC Indigenous Languages Technology Project provides operational Indigenous-language AI but does not name agrifood advisory as a deployment domain. Confirms G-011 from the regional scan.
• G-341 (new): The Maori-language Papa Reo / Te Hiku Media model (Aotearoa NZ) is the closest international analog to a substantive Indigenous-language AI deployment; no Canadian analog.

11. Archetype-specific upgrade notes

Archetype 02 (data-sovereignty)

Add to segment 4 (“the cooperative alternative”): The Canadian Indigenous-led agrifood AI deployments are data-sovereignty-by-design — community-stewarded, peer-reviewed, multilingual (PolArctic Inuktitut + English). Sit at the same level of data-sovereignty-architecture as JoinData (Netherlands) and NCIA (Australia), but unlike JoinData/NCIA they don’t have a federally-supported institutional vehicle behind them. Anchor unit: units/canadian-indigenous-data-sovereignty-agrifood.md.

Add to segment 4 (“the cooperative alternative”): FNDGS as the operative Canadian framework — community-driven, Nation-based, regional information governance centres (one per region). Anchor unit: units/fnigc-first-nations-data-governance-strategy.md.

Archetype 04 (cooperative-alternative)

Add to segment on alternatives: NCIAF as the substantive Canadian Indigenous-led agrifood institutional vehicle (only named Indigenous-led agrifood organisation with FCC backing). Anchor unit: units/nciaf-indigenous-agrifood-canada.md.

Add to segment on alternatives: Mila’s Indigenous AI institutional infrastructure — convening + education + capacity-building. Distinct from CSA joint-committee standard. Anchor unit: units/mila-indigenous-ai-infrastructure.md.

Add to segment on analytical framing: Ruder-Wittman data-justice framing is the substantive Canadian alternative voice — distinct from EU JoinData cooperative framing or US NAPDC cooperative framing. Anchor quote: quotes/institutional-mission-statements/ruder-wittman-data-justice-mission.md.

Archetype 05 (critical-lens Indigenous sovereignty)

Major upgrade — framework-deployment gap finding. Old claim: “Indigenous data sovereignty frameworks exist (CARE, IEEE 2890, OCAP); operational deployments are sparse.” New claim: “Canadian Indigenous-led agrifood AI deployments do exist — PolArctic, Salmon Vision, CanNor-funded projects — but they are funded through non-Indigenous-specific instruments (DFO, CanNor, BCSFA, BCSRIF). The framework is rich; the dedicated funder does not exist.”

Add new segment on IEEE 2890-2025 + AI/ML industries. IEEE 2890-2025 explicitly applies to AI/ML industries — first formal international standard for Indigenous data + AI/ML provenance. Anchor unit: existing units/indigenous-data-sovereignty.md (updated). Quote: quotes/institutional-mission-statements/ieee-2890-mission.md (date corrected).

Add new segment on PolArctic + Two-Eyed Seeing operational pattern. PolArctic is the first AI to operationalise Two-Eyed Seeing for a Canadian Inuit community. Anchor unit: units/polarctic-sanikiluaq-mariculture-ai.md.

Add new segment on Salmon Vision BC. Salmon Vision integrates AI with centuries-old Gitanyow fishing weir technology. Anchor unit: units/salmon-vision-bc-wild-salmon-ai.md.

Add new segment on Ruder-Wittman analytical voice. Substantive Canadian agrifood data-governance analytical voice, distinct from AI-deployment critical voices. Anchor quote: quotes/institutional-mission-statements/ruder-wittman-data-justice-mission.md.

Archetype 06 (regional-cluster-comparison)

Add Canada cluster pattern observation: Indigenous-led AI cluster is deployment-driven and infrastructure-anchored in Indigenous organisations (FNIGC, NCIAF, PolArctic, Salmon Vision, NEDA, Mila) rather than funder-anchored. Fourth operational model worth naming, distinct from EU cooperative cluster model and US land-grant-extension cluster model.

Add cross-institutional comparison: Aotearoa NZ (Te Mana Raraunga), Peru (ONAMIAP-IWGIA Indigenous Navigator), US (Cornell Atkinson IDSov cluster; Intertribal Agriculture Council), Canada (FNIGC + NCIAF + Mila). Substantively different operational anchors.

Quick-reference unit index (for talk-building):

Consolidated unit (1):

• units/canadian-indigenous-data-sovereignty-agrifood.md — consolidates framework + deployment + institutional + analytical-voice layers for Canadian context. Anchor for archetype 05 + 02 + 04 + 06.

Operational deployments (5 — including 3 added via subagent 1 corrections):

• units/polarctic-sanikiluaq-mariculture-ai.md — Inuit-led Two-Eyed Seeing operational pattern.
• units/salmon-vision-bc-wild-salmon-ai.md — Gitanyow + Heiltsuk-led wild salmon AI.
• units/siku-arctic-eider-society.md — Inuit-led digital infrastructure in Sanikiluaq; NISR + FAIR + CARE operationalisation at 125,000+ posts scale.
• units/smartice-iq-sea-ice-ml.md — Inuit sea-ice monitoring integrating IQ terminology with ML; 9 Inuit communities by 2025.
• (Eweal UWaterloo + Arctic Eider Society; NRC Indigenous Languages Technology Project — covered in consolidated unit)

Institutional layer (3):

• units/nciaf-indigenous-agrifood-canada.md — Indigenous-led agrifood institutional vehicle.
• units/mila-indigenous-ai-infrastructure.md — Canadian academic Indigenous AI infrastructure.
• units/fnigc-first-nations-data-governance-strategy.md — FNDGS as operative Canadian framework.

Critical-voice layer (2):

• units/chiefs-of-ontario-wald-2024.md — Dr. Benjamin Wald 2024 commissioned paper; substantive Canadian First Nations AI policy paper.
• (Ruder-Wittman critical voice covered in consolidated unit + existing quote file)

Updated unit (1):

• units/indigenous-data-sovereignty.md — global framework + international operational anchors. Updated to integrate PolArctic + Salmon Vision + NCIAF + FNDGS + Ruder-Wittman voice + Mila correction + IEEE 2890-2025 date correction + NISR (ITK 2018).

New quotes (2):

• quotes/institutional-mission-statements/ruder-wittman-data-justice-mission.md — substantive Canadian agrifood data-governance voice.
• quotes/institutional-mission-statements/fnigc-fndgs-mission.md — FNDGS as operative Canadian framework.

Quote update (1):

• quotes/institutional-mission-statements/ieee-2890-mission.md — date correction (board approval 2025-09-10; published 2025-11-14, not August 2025).

13. What to read next

For a 60-min critical-lens talk:

1. units/canadian-indigenous-data-sovereignty-agrifood.md (new) — consolidated framework + deployment + institutional + analytical-voice.
2. units/indigenous-data-sovereignty.md (updated) — global framework + international operational anchors.
3. units/polarctic-sanikiluaq-mariculture-ai.md (new) — Two-Eyed Seeing operational pattern.
4. units/salmon-vision-bc-wild-salmon-ai.md (new) — Indigenous-led wild salmon AI.
5. units/fnigc-first-nations-data-governance-strategy.md (new) — FNDGS as operative Canadian framework.
6. quotes/institutional-mission-statements/ruder-wittman-data-justice-mission.md (new) — analytical voice.
7. quotes/institutional-mission-statements/ieee-2890-mission.md (updated) — IEEE 2890 + AI/ML industries.

For a 45-min data-sovereignty Canadian talk:

1. units/canadian-indigenous-data-sovereignty-agrifood.md (new).
2. units/fnigc-first-nations-data-governance-strategy.md (new) — FNDGS as operative Canadian framework.
3. units/nciaf-indigenous-agrifood-canada.md (new) — institutional vehicle.
4. Existing units/canadian-retail-ai-pattern.md — vendor-mediated consumer data governance (compare/contrast).

For a 60-min regional-cluster-comparison talk:

1. units/canadian-indigenous-data-sovereignty-agrifood.md (new).
2. units/cornell-atkinson-idsov-cluster.md (existing) — US land-grant academic anchor.
3. units/indigenous-data-sovereignty.md (updated) — international anchors (Peru, Aotearoa, Mexico).
4. units/mila-indigenous-ai-infrastructure.md (new) — Canadian academic anchor.

14. Freshness

• last-verified: 2026-07
• last-regionally-scanned: 2026-07
• sources:
  • 6 new units + 1 unit update + 2 new quotes + 1 quote update (see §12)
  • 1 new scan: scans/2026-07-canada-indigenous-data-sovereignty-agrifood.md
  • 1 new consolidation scout: scouts/2026-07-canada-indigenous-data-sovereignty-agrifood.md
  • Existing units referenced: units/indigenous-data-sovereignty.md (updated), units/cornell-atkinson-idsov-cluster.md
  • Existing scans referenced: scans/2026-07-canada-regional-substrate.md (PolArctic + Salmon Vision + CanNor projects)
  • Existing scouts referenced: scouts/2026-07-canada-constraint-critical.md (framework §4 + G-313 origin)
  • Existing talks layer: talks/README.md, talks/index.md, talks/canada-deepening-cycle-2026-07.md (previous cycle findings), talks/archetypes/02/04/05/06