谍影重重
“兴城泳装工”“筝岛阿姨”“南票焊工” 被认定为省级劳务品牌_我的网站
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Huang Gang is in his fifties. Every day, he sits before a computer screen at Tianyige Museum (Tianyige), flipping through ancient books - digitally.
As director of the information technology department at Tianyige Museum in Ningbo, East China's Zhejiang Province, home to Asia's oldest surviving private library and one of the world's three oldest remaining family-run libraries, his job title may seem far removed from old books. Yet his work centers on them: converting brittle, thread-bound antique volumes into searchable, zoomable digital files accessible on screen.
For years, Tianyige has carried out digitization in batches guided by its mission: rescue-oriented preservation, scholarly organization and public-oriented outreach. Its teams have scanned more than 3.4 million pages of ancient texts. The institution rolled out its Ancient‑Book Digital Service Platform back in 2009. By 2025, the platform had drawn over 4.6 million total visits.
To outsiders, this might look like a headlong rush into digitization. For Huang and his colleagues, it is delicate work balanced between fast‑evolving artificial intelligence models and the reverence owed to fragile paper relics. "Technology is a tool, ancient books are artifacts, and reading is the ultimate purpose," Huang told the Global Times.
Beyond tech boundaries
Deep in the storage vaults of Tianyige, tens of thousands of ancient volumes rest in silence. Some pages are curled and fragile; others bear faded script -the accumulated marks of centuries. Vulnerable to aging, wear and external damage, these precious paper relics can hardly sustain long-term repeated manual consultation, making digital preservation an indispensable way to inherit ancient book resources.
Huang's daily work involves leading his team in the digitization of the library's entire collection of ancient books, paintings and cultural relics, bringing rare treasures out of the shadows and into public view.
AI now serves as a core auxiliary tool for ancient-book digitization and research. Huang's group initially built character-recognition frameworks based on optical-character-recognition technology. By cross-checking outputs across different models, ancient Chinese characters, damaged script and blurry handwriting.
According to Zhejiang Daily, by August 2025, the Tianyige's digital platform had added over 3,700 new digitized book sets, lifting its total digital holdings past 20,000 volumes.
Digitization is never a purely technical exercise; in-depth scholarly expertise in ancient texts remains indispensable. Huang frequently collaborates with Zhao Xuteng, a museum librarian specializing in classical literature. Zhao is responsible for selecting which volumes to digitize, evaluating editions, studying content, and identifying works of significant academic or public value. While one team focuses on the technical execution, another digs deep into the textual substance, ensuring that cold digital capture remains faithful to the historical and bibliographic logic of the originals.
Staying true to reading
When he is not writing code, Huang keeps asking one fundamental question: What should technology actually do for people? "All technology ultimately serves the act of reading itself," he said. "It can never replace that."
With the rapid rise of large language models, demand for high-quality text corpora has surged. Overseas, some AI companies have reportedly purchased millions of printed books in bulk, scanned them and then shredded the originals.
"Machines can efficiently compile documents, retrieve sources and generate explanatory notes. Real engagement with ancient texts, however, is far more than mechanical assembly of characters," Huang noted.
Both Huang and Zhao stressed that human beings sit at the heart of cultural inheritance. People absorb wisdom from old texts, draw on personal experience and scholarship to reflect, and produce new knowledge - an intellectual process no AI can fully replicate.
The Global Times learned that every digitization workflow at Tianyige follows strict closed-loop protocols: collection checkout logging, noncontact scanning, AI-powered quality checks, precise image stitching and compliant online publication. The full procedure minimizes physical wear on original artifacts.
"A book is, first and foremost, a cultural relic that carries a thousand-year legacy," Huang said. "Only secondarily is it a text to be read." That principle, he added, is shared by all guardians at Tianyige.
"Media change, technologies evolve, but the essence of reading has never changed," he stressed.
Today, drawing on its comprehensive digital collections, Tianyige hosts monthly exhibitions of rare texts and organizes family reading events where parents and children explore the classics together. For Huang and his colleagues, the most gratifying reward is watching more and more ordinary people develop a love for ancient reading and a deeper appreciation for the traditional Chinese culture.
In an era swept by artificial intelligence, Tianyige's guardians tend to fragile paper relics while leveraging modern technology, preserving the genuine power of reading. More than 450 years of scholarly heritage flows onward, passing between human fingertips and glowing digital screens.
。 本报讯 《日报》全媒体记者 赵丽杰报道 日前，辽宁省人力资源和社会保障厅发布第一批19个省级劳务品牌认定名单。经地区推荐、专家评审等程序，我市“兴城泳装工”“筝岛阿姨”“南票焊工”三个劳务品牌脱颖而出，为我市劳务输入输出树立了新标杆，也为广大劳动者开辟了更广阔的就业空间。
二 | 劳务品牌是具有鲜明地域标记、显著行业特征、过硬技能特点和良好用户口碑的劳务标识。我市积极通过劳务品牌“撬动”就业，通过“叫得响”“立得住”的劳务品牌，打造就业“金名片”。“兴城泳装工”是兴城市泳装行业协会创建的泳装劳务品牌，在专业培训和咨询、人才培养、品牌培育、质量信用体系建设、研发设计、政策资金、展览展示、跨境电子口岸建立等方面，为企业提供“保姆”式服务，积极为社会、为企业输送优质的“兴城泳装工”。 “筝岛阿姨”由市家庭服务业促进会牵头组织培训机构、家政龙头企业打造的区域性、特色化的劳务品牌。是帮助农村转移劳动力、下岗失业人员和转岗职工、退役军人、残疾人、家庭服务业从业人员等人群学习技能、实现就业、脱贫致富的有力举措。截至目前，累计培训家庭服务业从业人员近1.2万人，实现就业近6000人，带动近万名群众脱贫。 “南票焊工”是南票区宏刚职业技能培训学校于2020年开始创建的劳务输出品牌。“南票焊工”从品牌宣传、场地建设、技能培养、人员就业输出等多方面加大投资力度,自开展品牌建设以来用于“南票焊工”建设资金达100余万元。
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