La Profilée be[com]ing — Structural Diagnostic Series and Prediction Register v25 (Status as of October 1, 2026)
Abstract
La Profilée be[com]ing – Structural Prediction Register 2026, v25 (Status as of October 1, 2026)New version of DOI 10.5281/zenodo.19339460. The original deposit of April 4, 2026 remains unchanged and provides the ex-ante timestamp. 106 structural predictions for companies and macro segments, generated ex ante with be[com]ing v16 and deposited on April 4, 2026, scored over the entire period since deposit against the original wording of each prediction. 51 predictions run in the predicted direction — 19 confirmed, including 7 flagged as reading-dependent or provisional, and 32 unfolding — against one prediction that ran counter. Method. Facts that pre-date the deposit do not count. Claims are separated into event, attribution, and quantity where these differ — for example, an established safety event with unresolved structural attribution. Dated predictions whose stated window has closed without the formal event carry a separate timing note rather than being automatically classified as counter-predictions. Sources. Primary documents wherever available, including company filings, court and regulator documents, SEC, FDIC, FAA, BFU/AAIB, prosecutors, Mercury Research, and CBRE. Secondary reports are identified in the individual rows. Items not verified in the present update are listed on the final page. Structural Diagnostic Series This publication applies the framework to 15 major organizations across industries, providing: Structural state classification (Regime A–E) Identity stability and integration capacity assessment Compensation analysis (K-Scan) Drift direction (reversible vs. irreversible) Structural visibility horizon (T_visible) All diagnostics are based on publicly available data and are stated ex ante (April 2026). The results show that: Identity stability (F) is the primary structural determinant Financial performance can diverge from structural condition Integration capacity is multiplicative and non-compensable For example, companies in similar industries exhibit radically different structural conditions purely due to differences in identity stability, not strategy or capital allocation. Structural Prediction Register The second component of this work is a comprehensive prediction register, containing timestamped structural predictions derived from each system’s position relative to the persistence boundary. Each prediction includes: A clearly defined observable event A time window (T_visible) A structural derivation based on F, I, C, and R These predictions are explicitly marked: All predictions are stated ex ante — April 2026 — prior to outcome realization. Nature of the Predictions These predictions are not econometric forecasts and do not rely on: market consensus insider information management guidance Instead, they are: structural consequences derived from the system’s position relative to the persistence boundary (IR ≤ 1). T_visible denotes the expected window in which structural conditions become operationally visible — not the exact timing of events. Contribution This work introduces a distinct analytical approach: It separates identity (Frame) from transformation (Modules) It provides a quantitative persistence condition It enables ex ante structural predictions across domains The framework is domain-independent and applicable to: corporations markets technological systems Verification All predictions are timestamped via this publication. Verification occurs through time. When events materialize, their occurrence relative to the April 2026 timestamp provides direct empirical validation or falsification of the framework.
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Authors: Marc Maibom