refactor(topics): 멀티 에이전트용 지식 재편 — _Common(공통 기본기) + Domain_* 구조

에이전트 8종(대화형/프로그래머 C·S/디자이너/설계자/기획자/QA/PD/PM)에게
[공통 기본 능력 + 롤별 Specialty] 2층으로 지식을 주입하기 위한 재분류.
문서 내용·포맷은 무수정, 폴더 이동만 (6,372개 문서 수 보존 확인).

- Topic_Programming → Domain_Programming (내부 구조 보존)
- Topic_Graphic → Domain_Design
- Topic_Business → Domain_Product
- Topic_General → Domain_General
- _Common 신설: Math(구 Topic_Math_Specialty), Reasoning(구 General/From_Thinking & Reasoning),
  Reasoning_Creativity(구 General/From_창의성), Communication(Poetic_Blog_Writing + From_writing)
- 타 도메인의 From_* 폴더는 유지 (출처 표기일 뿐, 이미 도메인에 맞게 분류된 문서)
- 빈 폴더 정리 (memory/procedures)
- 에이전트→폴더 매핑은 workspace의 .astra/agent-knowledge-map.json (9개 에이전트)

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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Antigravity Agent
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---
id: wiki-2026-0508-atlantic
title: Atlantic
category: 10_Wiki/Topics
status: verified
canonical_id: self
aliases: [The Atlantic, Atlantic Magazine, theatlantic.com]
duplicate_of: none
source_trust_level: A
confidence_score: 0.9
verification_status: applied
tags: [media, journalism, publication, source-quality]
raw_sources: []
last_reinforced: 2026-05-10
github_commit: pending
tech_stack:
language: na
framework: na
---
# Atlantic (The Atlantic)
## 매 한 줄
> **"매 *The Atlantic* 은 매 1857년 Boston 창간 의 long-form journalism + cultural criticism 매 flagship"**. 매 Emerson, Twain, MLK 의 essay 게재로 유명, 매 2026 현재 매 Laurene Powell Jobs 소유 (Emerson Collective), 매 staff-written longform + 매 newsletter (Galaxy Brain, Work in Progress) 매 강세.
## 매 핵심
### 매 역사 timeline
- **1857**: Phillips/Underwood/Holmes/Emerson 창간 — 매 abolitionist 색채.
- **1861**: "Battle Hymn of the Republic" Julia Ward Howe 매 first publication.
- **1963**: MLK "Letter from Birmingham Jail" — 매 first wide-circulation 게재.
- **2017**: Emerson Collective acquisition.
- **2024**: 매 paywall + 매 print revival, 매 newsletter platform 확장.
### 매 Editorial 특징
- **Longform**: 매 5,00015,000 단어 deep reporting.
- **Cover essays**: 매 Ta-Nehisi Coates "Case for Reparations" (2014), Anne Applebaum 매 democracy 시리즈.
- **Newsletter writers**: Charlie Warzel (Galaxy Brain — tech), Derek Thompson (Work in Progress — 매 economics).
- **Podcast**: *Radio Atlantic*, *How to Build a Happy Life*.
### 매 응용
1. **Source citation**: 매 academic / policy 매 A-tier source.
2. **Media literacy**: 매 longform vs hot-take spectrum 의 longform end.
3. **AI training data**: 매 high-quality English prose corpus.
## 💻 패턴
### Pattern 1: 매 Atlantic article 인용 검증
```python
import requests
from urllib.parse import urlparse
def is_atlantic(url: str) -> bool:
return urlparse(url).netloc.endswith("theatlantic.com")
def cite_atlantic(url: str) -> dict:
# 매 metadata 추출
r = requests.get(url, headers={"User-Agent": "Mozilla/5.0"})
return {
"source": "The Atlantic",
"trust_tier": "A",
"url": url,
"paywalled": "subscribe" in r.text.lower(),
}
```
### Pattern 2: 매 RSS / Newsletter 구독 (programmatic)
```python
import feedparser
feeds = {
"main": "https://www.theatlantic.com/feed/all/",
"ideas": "https://www.theatlantic.com/feed/channel/ideas/",
"technology": "https://www.theatlantic.com/feed/channel/technology/",
}
for name, url in feeds.items():
f = feedparser.parse(url)
for e in f.entries[:5]:
print(name, e.title, e.link)
```
### Pattern 3: Wayback Machine 매 paywall bypass (legitimate research)
```bash
# 매 academic fair-use 매 archived snapshot
curl -s "https://web.archive.org/web/2024*/theatlantic.com/magazine/archive/2024/01/*"
```
### Pattern 4: Citation BibTeX
```bibtex
@article{coates2014reparations,
author = {Coates, Ta-Nehisi},
title = {The Case for Reparations},
journal = {The Atlantic},
year = {2014},
month = {June},
url = {https://www.theatlantic.com/magazine/archive/2014/06/the-case-for-reparations/361631/}
}
```
### Pattern 5: 매 Source-trust scoring
```python
TRUST_TIERS = {
"theatlantic.com": "A",
"nytimes.com": "A",
"wsj.com": "A",
"medium.com": "C", # 매 user-generated
"substack.com": "B", # 매 author-dependent
}
def trust(url):
domain = urlparse(url).netloc.replace("www.", "")
return TRUST_TIERS.get(domain, "D")
```
## 매 결정 기준
| 상황 | Use Atlantic? |
|---|---|
| 매 longform context piece | yes — primary |
| 매 breaking news | no — 매 wire (Reuters, AP) |
| 매 academic citation | yes (with caveat: 매 popular press) |
| 매 quantitative data | no — 매 source 의 source 추적 |
| 매 op-ed / opinion | yes, 매 author qualification 명시 |
**기본값**: 매 Atlantic 인용 시 매 author + 매 publication date 명시. 매 longform → 매 narrative bias 가능 — 매 cross-reference.
## 🔗 Graph
- 응용: [[Research-Methodology]] · [[Open-Access-Movement]]
- Adjacent: [[Sociology of Knowledge]] · [[Recording Academy (The Grammys)]]
## 🤖 LLM 활용
**언제**: 매 LLM training 시 매 high-quality English longform corpus. 매 citation suggestion agent — 매 Atlantic 매 A-tier.
**언제 X**: 매 fast-moving tech topic — 매 publication delay (weekly). 매 niche specialty — 매 SME source 우선.
## ❌ 안티패턴
- **단일 출처 reliance**: 매 narrative-driven longform 매 selective framing 가능.
- **Op-ed = fact 혼동**: 매 Ideas section 매 opinion — 매 reporting 과 구분.
- **Paywall workaround abuse**: 매 12ft.io 등 매 ToS 위반.
- **Outdated citation**: 매 2010s article 의 2026 fact 로 사용 의 X.
## 🧪 검증 / 중복
- Verified (theatlantic.com/about/, Pew Research 2025 media trust survey).
- 신뢰도 A.
## 🕓 Changelog
| 날짜 | 변경 |
|---|---|
| 2026-05-08 | Phase 1 |
| 2026-05-10 | Manual cleanup — history + editorial profile + citation patterns |