Trust evaluation in contemporary information environments is distributed across human readers, domain peers, institutions, platforms, search engines, and AI systems. Existing operational frameworks, including Google's E-E-A-T and the author's NEEATT extension, identify important trust-relevant properties but present them largely as attribute lists that are useful descriptively but less precise diagnostically: they do not consistently specify which evaluator position is constitutive of each property. This paper proposes a three-evaluator, nine-property credibility model: Transparency, Experience, and Expertise on the Self axis; Authority, Notability, and Corroboration on the Peers axis; and Trustworthiness, Celebrity (meaning cross-audience recognition), and Reach on the Audience axis. The central conceptual contribution is the decomposition of the Peers axis into deference, reference, and agreement, separating Authority from Notability and Corroboration and offering a conceptual response to a recurring failure mode in web-scale evaluation: popularity read as authority. The Mirror Principle extends the model to machine evaluators as a falsifiable expectation. Throughout, credibility names the layer all of these frameworks address: whether an entity should be believed, relied on, and recommended. E-E-A-T, NEEATT, and the proposed grid are alternative decompositions of that single layer; the category claim is the durable one, and it survives any future decomposition. Within the author's Understandability, Credibility, Deliverability model, the grid operationalises the Credibility layer. This is a practitioner-led conceptual working paper, not an empirical study. This paper is TKF-14-20647932 in The Kalicube Framework series by Jason Barnard (Kalicube). Canonical citation identifiers for the whole research programme are maintained in The Kalicube Framework Programme Register (TKF-0): https://doi.org/10.5281/zenodo.20645889. Cite this paper as TKF-14-20647932 (Zenodo concept DOI 10.5281/zenodo.20647932). AI usage disclosure: in the preparation of this paper, the author used Claude (Anthropic) for drafting, structured thinking, and editorial preparation, and Perplexity for literature search, reference verification, and critical review of drafts. All conceptual content, theoretical claims, and intellectual contributions are the author's own. The author reviewed, revised, and approved all text and takes full responsibility for the content of this publication.
Jason BARNARD (Thu,) studied this question.