Emotion
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)
Emotion has 5 facts recorded in Dontopedia across 3 references, with 1 live disagreement.
Mostly:superclass of(2), weight in southport(1), awakened by(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (12)
Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.
beatBeat(1)
- Woogoongarra
ex:woogoongarra
combinesCombines(1)
- Dramatic Sci Fi Manga Page
ex:dramatic-sci-fi-manga-page
conveysConveys(1)
- Dynamic Poses
ex:dynamic-poses
emphasizesEmphasizes(1)
- Figurative Art
ex:figurative-art
hasNomineeHas Nominee(1)
- Flying Handicap
ex:flying-handicap
sankUnderSank Under(1)
- King of Raiatea
ex:king-of-raiatea
Other facts (5)
The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.
| Predicate | Value | Ref |
|---|---|---|
| Superclass of | Positive Emotion | [3] |
| Superclass of | Negative Emotion | [3] |
| Weight in Southport | 6 10 | [1] |
| Awakened by | Constitutional Change | [2] |
| Rdf:type | Concept | [3] |
Timeline
Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.
References (3)
ctx:genes/trove-cooktown/reynolds- [2]Trove Trove Cooktown All Uhrs Camp Wednesday 8 September 1880 890855 Warden S Report Palmerville1 fact
ctx:research/blucher-uhr/trove--trove-cooktown-all--uhrs-camp--wednesday 8 september 1880--890855--warden-s-report-palmerville ctx:claims/beam/f0cc860e-7f75-4530-abef-84dc82b5e5ad- full textbeam-chunktext/plain1 KB
doc:beam/f0cc860e-7f75-4530-abef-84dc82b5e5adShow excerpt
term_embedding = get_contextual_embeddings(term) closest_synonyms = [] for word, synonyms in thesaurus.items(): word_embedding = get_contextual_embeddings(word) similarities = [np.dot(term_embedding, get_context…
See also
Keep researching
Missing something or suspicious of what's here? Kick off a research session — a Claude agent will investigate, cite its sources, and file new facts into a dedicated context you can review before accepting into the shared view.