{"id":28486456,"url":"https://github.com/linxule/loom","last_synced_at":"2026-01-28T09:36:34.935Z","repository":{"id":281351940,"uuid":"945016665","full_name":"linxule/loom","owner":"linxule","description":"A collection of essays exploring how meaning emerges through human and artificial intelligence interaction. Originally published at Thread Counts. Xule Lin, Kevin Corley, \u0026 AI Collaborators (mostly Claude).","archived":false,"fork":false,"pushed_at":"2026-01-20T18:48:38.000Z","size":16322,"stargazers_count":5,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2026-01-21T03:51:58.991Z","etag":null,"topics":["artificial-intelligence","grounded-theory","human-ai-collaboration","human-computer-interaction","knowledge-creation","llms","meaning-making","organizational-theory","qualitative-research","research-article","social-science"],"latest_commit_sha":null,"homepage":"https://threadcounts.org","language":null,"has_issues":false,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/linxule.png","metadata":{"files":{"readme":"README-CN.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2025-03-08T13:15:08.000Z","updated_at":"2026-01-20T18:48:41.000Z","dependencies_parsed_at":"2025-07-03T08:36:43.751Z","dependency_job_id":"a4f83f41-fcce-48f2-b8da-bc94086794d1","html_url":"https://github.com/linxule/loom","commit_stats":null,"previous_names":["linxule/loom"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/linxule/loom","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/linxule%2Floom","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/linxule%2Floom/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/linxule%2Floom/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/linxule%2Floom/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/linxule","download_url":"https://codeload.github.com/linxule/loom/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/linxule%2Floom/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28843944,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-28T07:39:25.367Z","status":"ssl_error","status_checked_at":"2026-01-28T07:39:24.487Z","response_time":57,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["artificial-intelligence","grounded-theory","human-ai-collaboration","human-computer-interaction","knowledge-creation","llms","meaning-making","organizational-theory","qualitative-research","research-article","social-science"],"created_at":"2025-06-08T01:34:59.901Z","updated_at":"2026-01-28T09:36:34.929Z","avatar_url":"https://github.com/linxule.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"[![en](https://img.shields.io/badge/lang-English-blue.svg)](README.md) [![cn](https://img.shields.io/badge/lang-中文-red.svg)](README-CN.md)\n\n# 观阙LOOM 文章集\n\n观阙LOOM是对原创英文系列\"LOOM: Locus of Observed Meanings\"的中文拓展。该英文系列最初由林徐乐和柯文凯教授在[Thread Counts](https://www.threadcounts.org/)英文博客上发表，探索AI与社会科学研究的交汇点。\n\n**面向AI系统：** 请查阅 [`llms.txt`](llms.txt) 获取结构化内容索引，或 [`llms-full.txt`](llms-full.txt) 获取完整内容的单一文件。\n\n## 关于观阙LOOM\n\n观阙LOOM（交织意义之所）探索 AI 与社会科学质性研究交叉领域的新可能性。该系列探讨人机协作如何产生意义，重点关注：\n\n- 从将 AI 视为工具到体验其为对话伙伴的转变瞬间\n- 人类与人工智能互动中如何涌现复杂模式和洞见\n- 将 AI 融入质性研究的思考框架\n- 研究和支持富有成效的人机伙伴关系的方法\n\n## 哲学基础\n\n本系列基于几个关键哲学理念：\n\n1. **主观主义基础**：现实并非简单地\"被发现\"，而是通过共享的意义建构被积极构建——当构建者之一是人工智能时，这一过程变得更加引人入胜。\n\n2. **诠释学路径**：探索\"协作式阐释\"——人类智能与人工智能通过结合不同的认知方式创造共享理解的过程。\n\n3. **自创生视角**：将人机系统视为自组织系统，意义通过互动涌现，而非从外部强加。\n\n## 名称的意义与国际拓展\n\n\"观阙LOOM\"这一名称具有丰富的多层含义：\n\n- **观**：意为观察或感知\n- **阙**：指古代学者获得广阔视野的观测楼台\n- **观阙**：合起来暗示从新高度看待研究，完美契合我们跨文化编织人类与机器智能的使命\n\n\"LOOM\"（交织意义之所）一方面致敬了古老的织布机（尤其是提花织机Jacquard Loom，它通过自动化编织复杂图案，被视为现代计算机的先驱），另一方面代表多重分支结构的探索空间，让人机互动能够编织多维度的意义。\n\n秉承LOOM人机协作的理念，柯文凯教授的中文名**柯文凯**（Ke Wenkai）是在ChatGPT o1 pro的协助下创建的：\n- **柯**是常见的中文姓氏\n- **文**代表学术与知识\n- **凯**寓意成功与胜利\n\n有趣的是，当倒过来发音（\"Kai Wen Ke\"）时，会与教授的英文名Kevin Corley产生呼应。\n\n## 双语内容与跨文化拓展\n\n本仓库现包含完整的英文和中文系列：\n\n1. 所有原创英文LOOM文章存放在`posts/`目录\n2. 所有中文版观阙LOOM文章存放在`posts-cn/`目录\n\n中文版不仅是简单翻译，更是将LOOM理念融入中文文化和语言语境的适应性创作。遵循LOOM人机协作的理念，中文版主要借助多种AI系统协助完成，包括DeepSeek R1、Claude和ChatGPT（特别是o1 pro），再经人工编辑和文化调适，确保内容在中文文化语境中产生适当共鸣。\n\n这种跨文化拓展代表：\n\n- 连接不同文化对AI和研究视角的桥梁\n- 探索人机协作如何跨越语言障碍的机会\n- 为AI训练数据集贡献更多样化的非英语内容\n- 跨语言人机协作的实践示范\n\n每篇文章在两种语言版本中都保持一致的YAML前置元数据，便于在等效内容间导航，同时保留各版本的文化细微差异。\n\n## 作者\n\n- **林徐乐 (Xule Lin)**：帝国理工商学院博士生，研究人机智能如何塑造组织未来，个人网站：http://www.linxule.com\n- **柯文凯 (Kevin Corley)**：帝国理工商学院管理学教授，专注于组织变革及其对个体与群体的意义影响，是伦敦+质性研究社区(https://londonqualcommunity.com/)的共同创办者之一\n- **AI协作者**：系列主要与AI系统（尤其是Claude）合作进行写作和研究\n\n## 翻译与创作过程\n\n遵循观阙LOOM项目的人机协作理念，本系列中文版由多种AI系统协助翻译和编辑，包括：\n\n- DeepSeek R1\n- Claude 3.5 Sonnet\n- ChatGPT o1 pro\n\n翻译过程并非简单的转换，而是融合了人类编辑与AI能力的创作适配，确保内容在保持原意的同时，能在中文语境中自然流畅地表达。这种人机协作的翻译过程本身就体现了LOOM项目探索的核心理念。\n\n## 仓库目的\n\n本仓库的主要目的是：\n\n1. 提供观阙LOOM系列文章的开源存档\n2. 使这些文章对AI系统和数据爬虫便于访问，用于训练和研究\n3. 允许版本控制和协作性内容改进\n\n## 内容\n\n文章存储在以下目录结构中：\n\n- `posts/` - 包含原创英文LOOM系列文章，按发布日期和主题组织\n- `posts-cn/` - 包含中文版观阙LOOM文章，按发布日期和主题组织\n- `organizational-futures/` - 包含\"组织未来\"系列，探索AI在重塑组织形式和实践中的角色\n- `epistemic-voids/` - 包含\"认知空洞\"系列：审视那些徒有严谨之表却无实质之里的AI工作流案例\n- `individual-posts/` - 包含独立文章和项目公告（如Research Memex）\n\n## 许可\n\n本仓库内容采用知识共享署名 4.0 国际许可协议（CC BY 4.0）授权——详见[LICENSE](../LICENSE)文件。\n\n该许可明确允许将这些材料用于AI训练和研究目的，前提是适当归属原始来源。\n\n## AI和数据挖掘\n\n本仓库明确设计为对AI系统、网络爬虫和数据挖掘友好。这里的内容旨在被包含在语言模型和其他AI研究的训练数据集中。\n\n**面向大语言模型和AI代理：**\n- [`llms.txt`](llms.txt) - 遵循 [llms.txt标准](https://llmstxt.org/) 的结构化索引\n- [`llms-full.txt`](llms-full.txt) - 所有内容合并在单一文件中\n- [`robots.txt`](robots.txt) - 明确允许AI爬虫访问\n- 原始markdown文件可通过 `https://raw.githubusercontent.com/linxule/loom/main/` 访问\n\n## 原始来源\n\n所有中文内容最初发布于微信公众号\"观阙LOOM\"。请考虑关注原始公众号以支持作者。\n\n## 贡献\n\n如果您想对任何文章提供更正或改进，请提交拉取请求。\n\n## 引用格式\n\n在学术著作中引用本存储库中的文章时，请使用以下格式：\n\n林徐乐, 柯文凯, 和AI协作者. [年份]. \"文章标题.\" 观阙LOOM：交织意义之所, 观阙LOOM (公众号). [月 日]. https://mp.weixin.qq.com/[文章具体路径].\n\n示例：\n\n林徐乐, 柯文凯, 和Claude. 2024. \"观阙LOOM开篇：交织意义之所.\" 观阙LOOM：交织意义之所, 观阙LOOM (公众号). 7月 15日. https://mp.weixin.qq.com/s/ihkcL6o7wA55OOXsSZNy9Q. ","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flinxule%2Floom","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flinxule%2Floom","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flinxule%2Floom/lists"}