Emotion corpus expansion — sourcing log (ASN-930)

Wave: Emotion Surfaces (ASN-930..938)
Goal: Broaden CC0/PD figurative coverage so crowd-rating pools (ASN-934) are not biased toward grief/yearning/tenderness-adjacent tones.
Image-level emotion labels still flow through passage ↔ image pairings (ASN-931); this doc tracks library growth and passage-side counts as a tilt proxy.

Underserved primaries (query packs live in code)

Canonical list: EMOTION_CORPUS_UNDERSERVED_PRIMARIES in lib/artwork/emotion-discovery-packs.ts.

Primary	Runbook target (approved units)	Notes
anger	≥40	Myth/combat + moral outrage subjects
anxiety	≥40	Night, storm, expressionist isolation
confusion	≥40	Dreamlike / ambiguous crowds
disgust	≥40	Grotesque, memento mori (curatorial register)
excitement	≥40	Triumph, festival, dance
fear	≥40	Horror, inferno, skeleton — boundary-sensitive
joy	≥40	Non-tenderness celebration (distinct from tenderness)
realization	≥40	Vision, conversion, annunciation-adjacent
surprise	≥40	Astonishment, discovery

If a museum/API genuinely returns fewer than 25 viable hits after boundary + license filters, document the gap here and lower that row only for that emotion.

Per-emotion audit — passage corpus (loom_passage_tags)

Passage tags are the only per-emotion row counts wired today (ASN-588). Refresh counts anytime:

npm run artwork:discover:emotion -- --audit

Paste TSV output below when you run it (initial snapshot placeholder until first run lands in git).

Snapshot: passage_primary counts (2026-04-29, linked dev DB)

admiration	0
anger	0
anxiety	0
chagrin	0
confusion	0
desire	0
disappointment	0
disgust	0
embarrassment	0
excitement	0
exposure-dread	0
fear	0
grief	0
guilt	0
humiliation	0
joy	0
love	0
mortification	0
nostalgia	0
pride	0
pride-as-defense	0
realization	0
relief	0
remorse	0
sadness	0
shame	0
surprise	0
tenderness	0
yearning	0

All zeros here means loom_passage_tags is not yet populated on this database (or bulk tagging has not run); re-run npm run artwork:discover:emotion -- --audit after memoir taxonomy ingest.

Active image library size

1356 experience_units with status = 'active' (same audit run). Image↔emotion distributions await ASN-931 pairings + later decomposition/telemetry.

Discovery commands

Preview candidates (Met + ARTIC + BnF default):

npm run artwork:discover:emotion -- --emotion fear --sources met,artic,bnf --limit-per-query 12

Dry-run (queries only):

npm run artwork:discover:emotion -- --emotion anger --dry-run

Europeana (probationary key, session cap — see scripts/sources/europeana.ts):

npm run artwork:discover:emotion -- --emotion fear --sources europeana

Smithsonian EDAN bulk has no HTTP search client in-repo; hints for shard grep:

npm run artwork:discover:emotion -- --emotion disgust --sources smithsonian --dry-run

Then use substring hints printed with scripts/ingest/smithsonian.ts workflows.

Sourcing log — operator-maintained

Emotion	Queued (IDs / batch)	Approved	Rejected	Curator notes
…	…	…	…	…

After approval: units follow existing decompose + content_attribution pipeline like all ingests.

Engineering shipped (2026-04-29)

• lib/artwork/emotion-discovery-packs.ts — shared packs + Europeana strategy shapes + Smithsonian EDAN term hints.
• scripts/artwork/discover-by-emotion.ts — CLI: --emotion, --sources, --audit, --list-emotions.
• getEmotionDiscoveryQueriesForMet|Artic|Bnf, getSmithsonianEmotionEdanTermHints on museum clients.
• searchEuropeana({ strategies }) override for emotion-targeted Europeana runs.
• npm run artwork:discover:emotion.