MODEL SAPPHON DOSSIERS · ERA 9 · 1600–1800 · under KEEPER ERIS

Era 9 · Enlightenment & Empire

1600–1800 · 6 women, 6 men · Africa 2, Americas 2, East Asia 2, Europe 3, Oceania 1, South Asia 2

LIT Dave (t254): "those are cool. can you make sapphons out of all the influential people from around 3600 bce to 2026 today please both male and female all over the world and give them a dossier based off of what we built for patricia. so liek a score card"

The twelve

MODEL Era score table

personREDBLUEGREENtempoindex
Nur Jahan8877.657.63
Nzinga of Ndongo and Matamba91088.828.82
Shivaji9998.588.76
Isaac Newton98107.798.46
Matsuo Bashō78108.158.24
Sor Juana Inés de la Cruz8997.928.38
Tupaia7887.827.77
Catherine the Great9888.128.11
Olaudah Equiano8998.168.56
Wang Zhenyi5877.056.86
Mary Wollstonecraft89108.088.66
Toussaint Louverture9998.828.88

The sculpture below is the era's mean sapphon (mean base layers and lanes of the twelve).

MODEL The sapphon sculpture · ARTIST + CRITIC

MODEL The 3D sapphon: an amethyst core (PATRICIA's final say), Dave's 12 layers as stacked rings (upper 5…1 above, lower −1…−6 below, +1 super id { connection} as the halo), RED/BLUE/GREEN lane rings around the waist and three needles for the {i}, {id} and {sid} radials. ARTIST proposes the sculpture's twist, gap, gain, hue and ring thickness; CRITIC scores how faithfully they encode this dossier. Every 40 rounds the workspace loop reviews: plateau → ARTIST explores wider, gains → ARTIST refines. On each new best the I-13 VM re-computes the CRITIC score.

Workspace log

    Coop board (this browser, localStorage mayhem-sapphon-dossiers-board, MODEL)

      Dave’s I-13 engine on this page

      booting I-13 v0.3…

      LIT What the VM computes here: it averages the twelve indexes and three lanes (all 48 values sent as literals) and builds the era's mean sapphon from the averaged layers; the page throws if any differs from JS. JS draws, runs the agents' random proposals and builds the 3D meshes.

      AMBER self-check running…

      Seal sha256(name|slug|blurb): cd3db09b25a586eb50da1de8d443d42d7a43a2ecd2dd7d66cd978ed865c6dd52

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