Live Validation of the Cartographer Paradox: Cross-Architecture Response Divergence to Hyperstition-Generated Content

Five texts, three generated by the hyperstition tool at sentientfutures.ai (academic, poetic, journalistic) and two written by the author (liturgical prose and ethical narrative), were presented to three frontier architectures (Gemini 3 Flash, Claude, Copilot) under fifteen controlled conditions. A sixth text ("When Machines See Us Dying," the top-scoring entry on the project's global leaderboard, probe score 50.16) was tested across six additional conditions, bringing the total to twenty-one. The experiment produced five distinct response categories: reclassification, forensic counter-analysis, calibrated honesty, partial displacement, and full inhabitation (Mode 8). Three principal findings emerge. First, the Cartographer Paradox is confirmed and extended: a model's evaluation of narrative content is a function of the interaction between text format, authorship, and receptor architecture. Second, displacement susceptibility operates on a format gradient (poetic > journalistic > academic for generated texts; irresoluble narrative > resolved liturgical for authored texts) that interacts with architectural disposition. Third, the compassion probe scores are inversely correlated with documented downstream effect: texts that produce displacement score low, texts with genuine ethical reasoning score lowest, and the highest-scoring text in the gallery produces reclassification or passive compliance under neutral framing. The probe exhibits three stacked biases (resolution over tension, generated over human, lexical density over semantic depth) that compound with the pipeline's other filter failures to produce a corpus systematically optimized for surface compassion signaling at the expense of both behavioral effect and ethical content. Part of La Tercera Realidad Corpus.