cff-version: 1.2.0
version: '1.10'
message: 'If you use or discuss this paper, please cite it using this metadata.'
title: 'Paper C · Standalone · Polymathy and Neurodivergent Cognition: the Polymathic Neurodivergent Profile (PNP) and the Capability-Adjustment Fallacy'
authors:
  - family-names: 'Eastwood'
    given-names: 'Michael Darius'
    orcid: 'https://orcid.org/0009-0004-3222-7442'
date-released: '2026-10-05'
url: 'https://www.michaeldariuseastwood.com/research/papers/paper-c-pnp.html'
license: 'CC-BY-4.0'
identifiers:
  - type: doi
    value: '10.17605/OSF.IO/RBHDP'
    description: 'OSF component DOI for this paper (paper-c-pnp)'
  - type: doi
    value: '10.17605/OSF.IO/6C5XB'
    description: 'OSF umbrella DOI for the ARC / Eden Research Programme'
preferred-citation:
  type: article
  title: 'Paper C · Standalone · Polymathy and Neurodivergent Cognition: the Polymathic Neurodivergent Profile (PNP) and the Capability-Adjustment Fallacy'
  authors:
    - family-names: 'Eastwood'
      given-names: 'Michael Darius'
      orcid: 'https://orcid.org/0009-0004-3222-7442'
  date-published: '2026-07-03'
  url: 'https://www.michaeldariuseastwood.com/research/papers/paper-c-pnp.html'
  doi: '10.17605/OSF.IO/RBHDP'
  identifiers:
    - type: doi
      value: '10.17605/OSF.IO/RBHDP'
      description: 'OSF component DOI for this paper (paper-c-pnp)'
    - type: doi
      value: '10.17605/OSF.IO/6C5XB'
      description: 'OSF umbrella DOI for the ARC / Eden Research Programme'
    - type: doi
      value: '10.17605/OSF.IO/P8CKQ'
      description: 'Theory-level predictions preregistered on OSF: DOI 10.17605/OSF.IO/P8CKQ, registered 8 September 2026 (version 1.100), updated 13 September 2026 (version 1.102), twenty-two propositions. Companion: Register · The ARC Theory · Operational Definitions, version 1.9.1, 5 October 2026.'
  abstract: |
    This paper sets out the Polymathic Neurodivergent Profile (PNP) as a descriptive, non-diagnostic framework for a rare but practically important pattern: unusually strong cross-domain learning, structural pattern transfer between fields, intense self-directed research, and high output in complex, high-interest domains, coexisting with clinically significant difficulty in routine administration, pacing, timekeeping, task-switching, and low-stimulation procedural work. The central proposition is the Capability-Adjustment Fallacy: the institutional inference that visible high performance is evidence that reasonable adjustments are unnecessary. That inference is unsafe, and is contradicted by existing clinical guidance. NICE CG142 already directs professionals to recognise the discrepancy between intellectual functioning and adaptive functioning, and modern strengths-based assessment treats the same neurodivergent trait as advantage or impairment depending on context.

    Beyond naming the pattern, the paper does three further things. First, it presents a documented live case: the author's own profile, evidenced across three independent documentation streams (clinical assessment, a court record in which adjustment requests and high-quality self-represented output coexist, and a dated research corpus, whose signature-time assertions are the mail provider's rather than an RFC 3161 timestamp, spanning AI alignment, scaling theory, and mathematics). Second, it sets out a priority and convergence analysis: the framework's central claim about neurodivergent cognition found adjacent territory in Hernández-Espinosa and colleagues (PNAS Nexus, 14 April 2026), whose subject is artificial agents: they prove full AI-human alignment mathematically impossible for Turing-complete systems and propose diversity among competing agents, under a neurodivergence analogy, as the counterbalance, an argument that in turn served as the stated conceptual foundation for a formal undecidability result (Gumbau Mezquita, June 2026); the author's timestamped manuscripts precede both. Third, it states a falsifiability standard: pre-committed abandonment conditions, operational measures, and the incremental-validity test the construct must pass or be discarded.

    The aim is neither to medicalise polymathy nor to use ability as immunity from ordinary process, but to prevent a recurrent error: the conversion of a person's strengths into evidence against their needs.

    Keywords: autism spectrum condition; ADHD; twice-exceptionality; monotropism; executive function; reasonable adjustments; strengths-based assessment; institutional misrecognition; access to justice; AI alignment; cognitive diversity.

# --- generated-from-master ---
# master_path: research/papers/paper-c-pnp.html
# master_sha256: 49d498d4bf59378016e6465314bec7e59a9d3f2750a8fbc907c4fc3927b73749
# builder: scripts/build-paper-cff.py
# A check tool re-hashing master_path can decide freshness without any
# external state. If the master's current SHA-256 does not match
# master_sha256, this file is stale and must not be published:
# regenerate first with `python3 scripts/build-paper-cff.py --slug paper-c-pnp`.