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Subtheme · theme_dark_fantasy

Dark Fantasy

Fantasy in a dark register. A fetched trade gallery: "In the Dark Fantasy tattoos, the subjects are linked to medieval atmospheres where occult rituals are celebrated by dark presences", with recurring figures including "the satyr, the masks of voodoo rituals, references to religious figures and their opposites". The 'voodoo' reference in that source is NOT reproduced as a motif here; it names a living religion and belongs to T11.10.
Thin
Low confidenceresearched

0 attested · 1 promoted1 source · T2

What the research says

themes_seed
Keywords
dark fantasy; medieval atmosphere
Cultural notes
The fetched source lists "the masks of voodoo rituals" among dark fantasy's recurring subjects. Vodou is a living religion, and a trade gallery listing it beside satyrs and gothic decoration is precisely the flattening this corpus refuses. Recorded here as a caution and routed to T11.10; not registered as a motif or a child theme.

Provenance

1 resolved

  • Reimagined Black Fantasy Tattoos (opens in a new tab)

    Tier 2

    Tattoo Life Crew, Tattoo Life

    Tattoo magazine gallery feature. Verbatim: "In the Dark Fantasy tattoos, the subjects are linked to medieval atmospheres where occult rituals are celebrated by dark presences." The single fetched sentence that ties occult subject matter to tattoo practice.

    professional tattoo source · published 2024-01-22 · retrieved 2026-08-28

Related concepts

1 link

Associated with · 1

  • ← incomingDemonMotifThin
    strength 0.50promoted · not an independent attestationresearched

    Promoted from motifs_seed.common_themes of motif_demon ('dark fantasy'). Provenance inherited from the parent row(s): source_tattoolife_dark_horror; source_tattoolife_macabre_grotesque; the first is carried in source_id. No new fact: this edge restates a value already present in the corpus. STRENGTH 0.5 set by the T11.11c rule: this pairing is asserted by ONE parent row's association column and by no second row; the pack's scale reads 0.5 as 'context-dependent'. Inputs are corpus counts only - no source count, tier or confidence is used.