Motif · motif_lighthouse
Lighthouse
0 attested · 2 promoted1 source · T2
What the research says
motifs_seed- Category
- architecture
- Variants
- lighthouse with waves; lighthouse with ship
- Common styles
- american traditional
- Common themes
- maritime
Provenance
1 resolvedTattooing 101
Professional tattoo education page. Enumerates the traditional element list verbatim: "Butterflies, moths, wolves, tigers, bears, panthers, snakes, eagles, owls, hourglasses, skulls, portraits, pin up girls, guns, and daggers are all common elements in traditional tattoo design", and separately "nautical themes are found often in American Traditional like anchors, lighthouses, mermaids, ships, sharks, octopuses, messages in a bottle, compasses, and rope". Unusually for a trade page it also states COMPOSITION behaviour: "using a dagger in your designs can emphasize the lines of the body", and that a rope frame "makes designs more circular to fit rounded areas better". Those two are the only composition_behaviors values in this sub-batch that are sourced rather than blank.
professional tattoo source · retrieved 2026-08-30
Related concepts
2 linksAssociated with · 1
- strength 0.50promoted · not an independent attestationresearched
Promoted from motifs_seed.common_themes of motif_lighthouse ('maritime'). 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.
Frequently used in · 1
- strength 0.50promoted · not an independent attestationresearched
Promoted from motifs_seed.common_styles of motif_lighthouse ('american traditional'). 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.