O*NET-SOC 代码
53-5011.00

Stand watch to look for obstructions in path of vessel, measure water depth, turn wheel on bridge, or use emergency equipment as directed by captain, mate, or pilot. Break out, rig, overhaul, and store cargo-handling gear, stationary rigging, and running gear. Perform a variety of maintenance tasks to preserve the painted surface of the ship and to maintain line and ship equipment. Must hold government-issued certification and tankerman certification when working aboard liquid-carrying vessels. Includes able seamen and ordinary seamen.

职业名称和任务陈述按其发布时的英文原文显示。标签(包括任务类型)为译文。

AI暴露度

  • 数据来源: BLS发布时间: 2026-08

    低· 相对

    低四级相对区间很高

    职业群单位数值

    尺度 · 母数 · 来源

    四级相对类别(低 / 中等 / 高 / 很高)

    以BLS就业预测表中831个细分职业为基数。取值按 NEM(全国就业矩阵)代码给定,因此共用同一 NEM 代码的职业得到相同分档

    来源数据集(XLSX 文件下载)

  • 数据来源: Anthropic发布时间: 2026-03

    0.000

    0.000此处所载数值的范围0.745
    尺度 · 母数 · 来源

    观测暴露度指数,按发布原值0–1

    以O*NET任务映射为基准

    按 SOC 2018 职业发布的数值;具有相同 SOC 2018 代码的所有 O*NET 职业均显示此值

    来源数据集(CSV 文件下载)

  • 数据来源: ILO发布时间: 2025

    0.14

    0.09此处所载数值的范围0.70

    职业群单位数值

    尺度 · 母数 · 来源

    生成式AI暴露度指数,按发布原值0–1

    按 ISCO-08 细类(4 位)发布的数值。按原样应用美国劳工统计局(BLS)的官方对照表(ISCO-08→2010 SOC、2010 SOC→2018 SOC)关联到本职业,对应关系为全部或部分对应

    来源数据集(PDF 文件下载)

该来源发布的是什么性质的数值

BLS的类别是相对排位而非绝对水平,也不是一手测量:它把多项已发表研究给出的职业百分位排名归并为四个等级。它不是就业或工资预测,不是采用概率,也不区分自动化与增强。

AI 暴露度(OpenAI 评分标准)

已评分任务 28 项 · β ≥ 0.5 的任务 2 项(7.1%)

β = 直接暴露(E1)+ 0.5 × 借助工具时的暴露(E2),依据原始代码库的定义。

  • 原始单位:O*NET 27.2 任务 → O*NET 31.0 职业代码
  • 已评分任务中有 4 项不在 O*NET 31.0 任务列表中,其分数按 O*NET 27.2 的发布值保留。
来源
OpenAI "GPTs are GPTs" exposure rubric
版本
gh-main-0471612
许可
MIT License, Copyright (c) 2024 OpenAI

任务

来自 O*NET® 31.0 Database 的任务陈述,核心任务在前。

任务类型β(OpenAI)
Maintain government-issued certifications, as required.核心0
Handle lines to moor vessels to wharfs, to tie up vessels to other vessels, or to rig towing lines.核心0
Stand watch in ships' bows or bridge wings to look for obstructions in a ship's path or to locate navigational aids, such as buoys or lighthouses.核心0
Operate, maintain, or repair ship equipment, such as winches, cranes, derricks, or weapons system.核心0
Lubricate machinery, equipment, or engine parts, such as gears, shafts, or bearings.核心0
Splice and repair ropes, wire cables, or cordage, using marlinespikes, wire cutters, twine, and hand tools.核心0
Provide engineers with assistance in repairing or adjusting machinery.核心0
Paint or varnish decks, superstructures, lifeboats, or sides of ships.核心0
Sweep, mop, and wash down decks to remove oil, dirt, and debris, using brooms, mops, brushes, and hoses.核心0
Chip and clean rust spots on decks, superstructures, or sides of ships, using wire brushes and hand or air chipping machines.核心0
Lower and man lifeboats when emergencies occur.补充0
Steer ships under the direction of commanders or navigating officers or direct helmsmen to steer, following designated courses.补充0
Overhaul lifeboats or lifeboat gear and lower or raise lifeboats with winches or falls.补充0
Break out, rig, and stow cargo-handling gear, stationary rigging, or running gear.补充0
Give directions to crew members engaged in cleaning wheelhouses or quarterdecks.补充0
Read pressure and temperature gauges or displays and record data in engineering logs.补充0.5
Examine machinery to verify specified pressures or lubricant flows.补充0
Measure depth of water in shallow or unfamiliar waters, using leadlines, and telephone or shout depth information to vessel bridges.补充0
Attach hoses and operate pumps to transfer substances to and from liquid cargo tanks.补充0
Maintain a ship's engines under the direction of the ship's engineering officers.补充0
Tie barges together into tow units for tugboats to handle, inspecting barges periodically during voyages and disconnecting them when destinations are reached.补充0
Clean and polish wood trim, brass, or other metal parts.补充0
Load or unload materials, vehicles, or passengers from vessels.补充0
Record data in ships' logs, such as weather conditions or distances traveled.补充1

职业信息

来源与署名

This page includes information from the O*NET® 31.0 Database (https://www.onetcenter.org/database.html) by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license (https://creativecommons.org/licenses/by/4.0/). O*NET® is a trademark of USDOL/ETA. AI Changing Work has modified all or some of this information: the O*NET-SOC code, title and task statements are reproduced in English without change; task-type labels are shown in the page's language and tasks are listed core first; any Korean occupation title shown on the Korean-language page is AI Changing Work's translation; any KSCO-8 unit groups linked to this occupation were paired with it by AI Changing Work's judgment, and the relation labels and statuses are AI Changing Work's additions. USDOL/ETA has not approved, endorsed, or tested these modifications.

Any AI exposure figures on this page are published by third parties, not by AI Changing Work, and none is part of the O*NET information. OpenAI publishes task-level scores (MIT License) for O*NET 27.2 task statements; each is shown next to the O*NET 31.0 task statement with the same task ID, whose wording can differ from the 27.2 statement that was scored. OpenAI also publishes occupation-level scores for O*NET-SOC codes in the same release, and any such score is shown on the O*NET occupation with the same code. Anthropic publishes an observed exposure index in the Anthropic Economic Index (CC-BY), and the U.S. Bureau of Labor Statistics publishes relative AI exposure categories (public domain); both are published per SOC code, and each value is shown on every O*NET occupation with that code. The International Labour Organization publishes a generative AI exposure index in ILO Working Paper 140 (CC BY 4.0) for ISCO-08 unit groups; AI Changing Work links those groups to O*NET occupations by applying the U.S. Bureau of Labor Statistics ISCO-08 to 2010 SOC and 2010 SOC to 2018 SOC crosswalks as published, without case-by-case selection, and these crosswalks match many groups only in part. Where several unit groups are linked, each group's published value is listed, and any summary shows only the lowest and highest of those values with the number of groups; no exposure figure is averaged or recalculated. Any employment figures are published by the U.S. Bureau of Labor Statistics for the SOC group containing this occupation. Each source is credited where its figures are shown.

O*NET OnLine: 53-5011.00 Sailors and Marine Oilers

KSCO 코드·명칭: 한국표준직업분류(제8차 개정) — 통계청 고시 제2024-328호 (2024-07-01 고시, 2025-01-01 시행). 저작권법 제7조 제2호의 고시 항목이다. 명칭 표기(가운뎃점·띄어쓰기)는 해설서 2차 정오 반영판의 표기를 따랐으며, 고시 항목표와는 18개 명칭에서 가운뎃점 글리프나 띄어쓰기만 다르다. 통계청은 2025년 10월 국가데이터처로 개편되었다. 이 페이지의 KSCO 연결은 통계청·국가데이터처의 공식 연계표가 아니다.

完整署名与许可