2nd/10_Wiki/Topics/Computer_Science_and_Theory/Caetextia.md

id, title, category, status, canonical_id, aliases, duplicate_of, source_trust_level, confidence_score, verification_status, tags, raw_sources, last_reinforced, github_commit, tech_stack

id	title	category	status	canonical_id	aliases	duplicate_of	source_trust_level	confidence_score	verification_status	tags	raw_sources	last_reinforced	github_commit	tech_stack
wiki-2026-0508-caetextia	Caetextia	10_Wiki/Topics	verified	self	Context Blindness Contextual Blindness	none	B	0.75	applied	psychology autism cognition neurodiversity theory		2026-05-10	pending	language framework N/A Human Givens (Griffin & Tyrrell)

Caetextia

매 한 줄

"매 context-blindness 의 cognitive trait". Joe Griffin & Ivan Tyrrell (Human Givens, 2008) 의 coined term — 매 Latin caecus (blind) + textus (context). 매 autism spectrum 의 매 core deficit hypothesis 의 한 candidate — 매 Peter Vermeulen 의 "context blindness" theory 와 overlap. 매 2026 의 매 mainstream DSM 의 X — 매 niche framework remain.

매 핵심

매 정의

• Context blindness: 매 situational meaning extraction 의 어려움.
• 매 detail processing 의 strong — 매 gestalt context 의 weak.
• 매 literal interpretation tendency — 매 sarcasm/idiom 의 difficulty.
• 매 weak central coherence theory (Frith 1989) 와 conceptual cousin.

매 manifestations

• 매 social cue mis-reading — 매 tone/body language 의 missing.
• 매 routine rigidity — 매 context-shift 의 high cost.
• 매 generalization 의 어려움 — 매 task-specific learning 의 narrow.
• 매 hyperfocus 의 detail-level — 매 big picture 의 fade.

매 Programming/Tech 관련성

1. Specification literalism: 매 ambiguous spec 의 매 over-literal implementation — 매 PM intent 의 미파악.
2. Strong type/contract design: 매 caetextic developers 의 explicit contract preference.
3. Edge-case detection: 매 detail-focus 의 strength — 매 QA/security/protocol design.
4. Code review style: 매 surface vs. systemic critique 의 contrast.

매 Caveats

• 매 not DSM-5/ICD-11 의 official diagnosis.
• 매 Human Givens framework 의 academic acceptance limited.
• 매 spectrum/dimension — 매 binary trait 의 X.

💻 패턴

Context-Aware vs. Context-Blind Code Style

# 매 context-blind: 매 strict literal contract
def transfer(amount: Decimal, from_id: int, to_id: int) -> TransferResult:
    if amount <= 0: raise ValueError("amount must be positive")
    if from_id == to_id: raise ValueError("self-transfer forbidden")
    # 매 explicit precondition checks — 매 caller intent 의 무시

# 매 context-aware: 매 inferring caller intent
def transfer(amount: Decimal, from_id: int, to_id: int) -> TransferResult:
    # 매 same account 일 때 — 매 likely UI bug — 매 silent no-op + log
    if from_id == to_id:
        logger.info("self-transfer attempted, treating as no-op", from_id)
        return TransferResult.skipped()

Sarcasm/Idiom Detection (NLP)

import torch
from transformers import AutoTokenizer, AutoModelForSequenceClassification

# 매 caetextia model 의 자동화 X — 매 NLP 의 sarcasm classifier 의 사용
tok = AutoTokenizer.from_pretrained("helinivan/english-sarcasm-detector")
model = AutoModelForSequenceClassification.from_pretrained("helinivan/english-sarcasm-detector")

def is_sarcastic(text: str) -> bool:
    inputs = tok(text, return_tensors="pt", truncation=True)
    logits = model(**inputs).logits
    return torch.argmax(logits).item() == 1

Contract-First API Design (caetextia-friendly)

// 매 explicit precondition — 매 ambiguity 의 elimination
type TransferInput = {
  readonly amount: Money & { __brand: 'positive' };
  readonly from: AccountId;
  readonly to: AccountId & { __brand: 'different-from-from' };
  readonly idempotencyKey: string;
};

// 매 type-level enforcement — 매 caller 의 intent 의 disambiguate
function transfer(input: TransferInput): Promise<Result<TransferOk, TransferErr>>;

Workplace Accommodation Checklist

# 매 caetextia-aware engineering team practices
communication:
  - explicit_written_specs: required
  - meeting_agenda: shared 24h ahead
  - sarcasm_in_slack: marked /s or emoji
  - decision_documentation: ADR mandatory
code_review:
  - use_explicit_blocking_vs_nit_tags
  - link_to_design_doc_for_context
focus:
  - deep_work_blocks: 4hr no-meeting windows
  - notification_batching: 2x/day

매 결정 기준

상황	Approach
Spec 의 ambiguity	Disambiguate explicitly — 매 caetextia 의 friendly
Sarcasm-heavy team comm	Add /s markers + async-text 우선
Code review	Tag blocking vs. nit explicitly
Onboarding	Written runbook + ADR archive
Brainstorm session	Async written round 1 → sync round 2

기본값: 매 explicit > implicit communication, 매 written > verbal context.

🔗 Graph

• 부모: Neurodiversity
• 변형: Weak Central Coherence
• Adjacent: Theory of Mind · Pragmatics

🤖 LLM 활용

언제: 매 spec disambiguation, 매 sarcasm/idiom annotation, 매 written-context expansion 의 ambiguous chat. 언제 X: 매 clinical diagnosis (DSM-5 의 X), 매 individual labeling — 매 stigmatization risk.

❌ 안티패턴

• Pop-psych labeling: 매 colleague 의 "caetextic" 의 stigma — 매 framework 의 misuse.
• Binary classification: 매 spectrum 의 reality 의 ignore.
• Diagnosis without clinician: 매 self/peer-diagnosis 의 academic basis 의 약함.
• Conflating with autism: 매 caetextia ≠ autism — 매 partial overlap only.

🧪 검증 / 중복

• Verified (Griffin & Tyrrell, Human Givens Approach 2008; Vermeulen Autism as Context Blindness 2012).
• 신뢰도 B (niche framework, not mainstream DSM).

🕓 Changelog

날짜	변경
2026-05-08	Phase 1
2026-05-10	Manual cleanup — Caetextia framework + engineering applications + caveats