Ars Inquirendi

AI-generated conjecture · below the evidence/publication boundary

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The Master changes his name in Book Sixteen

Status: Anticipated · untested

Status is derived only from the shepherd-authored triage/prediction data above -- community submissions and claims are a separate overlay and can never change it (see the participation panel below).

This is a proposed connection between two domains, generated by a language model. It is not an article and not evidence: it sits below the evidence/publication boundary. A quantitative prediction and a named kill-dataset are attached (when registered) so the claim stays falsifiable rather than merely evocative.

Claim (verbatim)

The received Analects binds at least two documentary streams, and their seam is pragmatically encoded in how the teacher is named. In the core books the formula is 'the Master said' (zi yue) — deixis presupposing a community for whom there is exactly one Master. In the last five books he is repeatedly 'Kongzi' — named from outside, one master among the masters of a wider textual world — and the pericopes swell toward literary anecdote. The compilation's strata should thus be recoverable from address-forms and unit-lengths alone, without a single judgment about doctrine. Prediction: the rate of Kongzi-yue relative to zi-yue attributions will be at least five times higher in books 16–20 than in books 1–15, and mean pericope length in books 16–20 will exceed the books 1–15 mean by at least 40% (primary clause: the fivefold attribution-rate ratio; the verdict follows it). Exact computation: from the Chinese Text Project's Lunyu, count 子曰 and 孔子曰 openings per book and character lengths per pericope. Kill: the Chinese Text Project's digitized Lunyu (ctext.org).

Prediction clause (verbatim)

Prediction: the rate of Kongzi-yue relative to zi-yue attributions will be at least five times higher in books 16–20 than in books 1–15, and mean pericope length in books 16–20 will exceed the books 1–15 mean by at least 40% (primary clause: the fivefold attribution-rate ratio; the verdict follows it). Exact computation: from the Chinese Text Project's Lunyu, count 子曰 and 孔子曰 openings per book and character lengths per pericope.

Kill-dataset (verbatim)

Kill: the Chinese Text Project's digitized Lunyu (ctext.org).

Nobody has run this test. The kill-data is named above. If you can run it — or you know the paper that already settles it — claim the kill or submit the prior scholarship. Kills and prior scholarship are credited here, by name, as they come in.

Provenance

Run: Fresh agent generation · model: claude-fable-5

Fresh blind generation instance of claude-fable-5, 2026-07-16, wave M02 (the works) of the Minds & Works campaign, produced from model knowledge alone under the two-file blindness protocol.

Novelty / leakage triage

anticipated in the literature — this exact test has never been run

Borderline-leaked: the zi-yue vs Kongzi-yue address shift and the anomalous character of Analects books 16-20 are established stratification arguments (Brooks & Brooks and others), so the seam-marker is on record; but the specific measured prediction (Kongzi-yue:zi-yue >=5x higher in 16-20; mean pericope length >=40% longer) was not located as a stated test.

  • E.B. Brooks & A.T. Brooks, The Original Analects (Columbia, 1998)

Predictions

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