O*NET-SOC コード
51-4041.00

Set up and operate a variety of machine tools to produce precision parts and instruments out of metal. Includes precision instrument makers who fabricate, modify, or repair mechanical instruments. May also fabricate and modify parts to make or repair machine tools or maintain industrial machines, applying knowledge of mechanics, mathematics, metal properties, layout, and machining procedures.

職業名とタスク記述は、公表された英語のまま表示します。ラベル(タスクの種類を含む)は翻訳しています。

AI露出度

  • データ出典: BLS公表時点: 2026-08

    中程度· 相対

    低い4段階の相対区分非常に高い

    職業群単位の値

    尺度・母数・出典

    4段階の相対区分(低い / 中程度 / 高い / 非常に高い)

    BLS雇用見通し表の詳細職業831件が母数。値は NEM(全国雇用マトリクス)コード単位で付与されるため、同じ NEM コードの職業は同じバンドになります

    出典データセット(XLSX ファイルのダウンロード)

  • データ出典: Anthropic公表時点: 2026-03

    0.000

    0.000ここに掲載された値の範囲0.745
    尺度・母数・出典

    観測エクスポージャー指数、公開されたまま0–1

    O*NETタスクへの対応づけが基準

    SOC 2018の職業単位で公表された値で、同じSOC 2018コードを持つO*NET職業はすべてこの値になります

    出典データセット(CSV ファイルのダウンロード)

  • データ出典: ILO公表時点: 2025

    0.18

    0.09ここに掲載された値の範囲0.70

    職業群単位の値

    尺度・母数・出典

    生成AI露出度指数、公開されたまま0–1

    ISCO-08の細分類(4桁)単位で公表された値です。米国労働統計局(BLS)の公式対応表(ISCO-08→2010 SOC、2010 SOC→2018 SOC)を公表どおり適用してこの職業に結び付けており、対応は全部または一部です

    出典データセット(PDF ファイルのダウンロード)

この出典がどのような性格の値か

BLSの区分は絶対水準ではなく相対順位であり、一次測定でもありません。複数の既存研究が付けた職業別パーセンタイル順位を4段階にまとめた値です。雇用や賃金の予測でもなく、導入確率でもなく、自動化と増強を区別しません。

AI 曝露度(OpenAI ルーブリック)

評価済みタスク 29 件 · β ≥ 0.5 のタスク 8 件(27.6%)

β = 直接的な露出(E1)+ 0.5 × ツール利用時の露出(E2)。原典リポジトリの定義に従います。

  • 原典の単位:O*NET 27.2 のタスク → O*NET 31.0 の職業コード
  • 評価済みタスクはすべて O*NET 31.0 のタスク一覧にあります。
出典
OpenAI "GPTs are GPTs" exposure rubric
版
gh-main-0471612
ライセンス
MIT License, Copyright (c) 2024 OpenAI

タスク

O*NET® 31.0 Database のタスク記述です。コアタスクを先に表示します。

タスク種類β(OpenAI)
Machine parts to specifications, using machine tools, such as lathes, milling machines, shapers, or grinders.コア0
Measure, examine, or test completed units to check for defects and ensure conformance to specifications, using precision instruments, such as micrometers.コア0
Align and secure holding fixtures, cutting tools, attachments, accessories, or materials onto machines.コア0
Monitor the feed and speed of machines during the machining process.コア0
Lay out, measure, and mark metal stock to display placement of cuts.コア0.5
Check work pieces to ensure that they are properly lubricated or cooled.コア0
Operate equipment to verify operational efficiency.コア0
Program computers or electronic instruments, such as numerically controlled machine tools.コア1
Confer with engineering, supervisory, or manufacturing personnel to exchange technical information.コア1
Confer with numerical control programmers to check and ensure that new programs or machinery will function properly and that output will meet specifications.コア1
Fit and assemble parts to make or repair machine tools.コア0
Design fixtures, tooling, or experimental parts to meet special engineering needs.コア0.5
Dispose of scrap or waste material in accordance with company policies and environmental regulations.コア0
Separate scrap waste and related materials for reuse, recycling, or disposal.コア0
Calculate dimensions or tolerances, using instruments, such as micrometers or vernier calipers.コア0
Set up, adjust, or operate basic or specialized machine tools used to perform precision machining operations.コア0
Maintain machine tools in proper operational condition.コア0
Study sample parts, blueprints, drawings, or engineering information to determine methods or sequences of operations needed to fabricate products.コア0.5
Diagnose machine tool malfunctions to determine need for adjustments or repairs.コア0
Evaluate machining procedures and recommend changes or modifications for improved efficiency or adaptability.コア1
Install repaired parts into equipment or install new equipment.補足0
Advise clients about the materials being used for finished products.補足0
Dismantle machines or equipment, using hand tools or power tools to examine parts for defects and replace defective parts where needed.補足0
Establish work procedures for fabricating new structural products, using a variety of metalworking machines.補足0
Support metalworking projects from planning and fabrication through assembly, inspection, and testing, using knowledge of machine functions, metal properties, and mathematics.補足0
Prepare working sketches for the illustration of product appearance.補足0.5
Install experimental parts or assemblies, such as hydraulic systems, electrical wiring, lubricants, or batteries into machines or mechanisms.補足0
Set up or operate metalworking, brazing, heat-treating, welding, or cutting equipment.補足0
Test experimental models under simulated operating conditions, for purposes such as development, standardization, or feasibility of design.補足0

職業情報

出典と帰属表示

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: 51-4041.00 Machinists

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.

帰属表示とライセンスの全文