Geological Technicians, Except Hydrologic Technicians
Life, Physical, and Social Science Occupations- رمز O*NET-SOC
- 19-4043.00
Assist scientists or engineers in the use of electronic, sonic, or nuclear measuring instruments in laboratory, exploration, and production activities to obtain data indicating resources such as metallic ore, minerals, gas, coal, or petroleum. Analyze mud and drill cuttings. Chart pressure, temperature, and other characteristics of wells or bore holes.
تُعرض أسماء المهن وأوصاف المهام بالإنجليزية كما نُشرت. أما التسميات، ومنها أنواع المهام، فمترجمة.
التعرّض للذكاء الاصطناعي
- مصدر البيانات: BLSتاريخ النشر: 2026-08
مرتفع· نسبي
منخفضأربع فئات نسبيةمرتفع جدًاقيمة على مستوى المجموعة المهنية
المقياس والأساس والمصدر
أربع فئات نسبية (منخفض / متوسط / مرتفع / مرتفع جدًا)
831 مهنة تفصيلية في جدول توقعات التوظيف لدى BLS. وتُسند القيمة على مستوى رمز مصفوفة التوظيف الوطنية (NEM)، فالمهن التي تشترك في الرمز نفسه تأخذ النطاق نفسه
- مصدر البيانات: Anthropicتاريخ النشر: 2026-03
0.229
0.000نطاق القيم المعروضة هنا0.745المقياس والأساس والمصدر
مؤشر التعرّض المرصود، 0–1 كما نُشر
مربوط بمهام O*NET
منشورة لكل مهنة في SOC 2018؛ وكل مهنة في O*NET تحمل رمز SOC 2018 نفسه تأخذ هذه القيمة
- مصدر البيانات: ILOتاريخ النشر: 2025
0.26–0.28· مجموعتا ISCO-08
المقياس والأساس والمصدر
مؤشر التعرّض للذكاء الاصطناعي التوليدي، 0–1 كما نُشر
قيمة منشورة على مستوى مجموعة الوحدة في ISCO-08. رُبطت بهذه المهنة بتطبيق جداول التناظر الرسمية لمكتب إحصاءات العمل الأمريكي (BLS) (من ISCO-08 إلى SOC 2010، ومن SOC 2010 إلى SOC 2018) كما نُشرت، والتناظر كلي أو جزئي
ما نوع القيمة التي ينشرها هذا المصدر
فئة BLS رتبة نسبية لا مستوى مطلق، وليست قياسًا مباشرًا: فهي تجمع الرتب المئينية للمهنة في عدة دراسات منشورة في أربع فئات. وهي ليست توقّعًا للتوظيف أو الأجور، ولا احتمالًا للتبني، ولا تفرّق بين الأتمتة والتعزيز.
قيمة ILO لكل مجموعة ISCO-08 مرتبطة
- ISCO-08 3111Chemical and Physical Science Technicians0.26
- ISCO-08 3117Mining and metallurgical technicians0.28
التعرض للذكاء الاصطناعي (معيار OpenAI)
30 مهمة مقيَّمة · 22 مهمة بقيمة β ≥ 0.5 (73.3%)
β = التعرّض المباشر (E1) + 0.5 × التعرّض عند توفر الأدوات (E2)، وفق تعريف المستودع المصدري.
- وحدة المصدر: مهام O*NET 27.2 ← رمز المهنة في O*NET 31.0
- عدد المهام المقيَّمة غير الموجودة في قائمة مهام O*NET 31.0: 1؛ وتبقى درجاتها كما نُشرت وفق O*NET 27.2.
- المصدر
- OpenAI "GPTs are GPTs" exposure rubric
- الإصدار
- gh-main-0471612
- الترخيص
- MIT License, Copyright (c) 2024 OpenAI
المهام
أوصاف المهام من O*NET® 31.0 Database، والمهام الأساسية أولًا.
| المهمة | النوع | β (OpenAI) |
|---|---|---|
| Test and analyze samples to determine their content and characteristics, using laboratory apparatus or testing equipment. | أساسية | 0.5 |
| Collect or prepare solid or fluid samples for analysis. | أساسية | 0 |
| Compile, log, or record testing or operational data for review and further analysis. | أساسية | 0.5 |
| Prepare notes, sketches, geological maps, or cross-sections. | أساسية | 0.5 |
| Participate in geological, geophysical, geochemical, hydrographic, or oceanographic surveys, prospecting field trips, exploratory drilling, well logging, or underground mine survey programs. | أساسية | 0 |
| Prepare or review professional, technical, or other reports regarding sampling, testing, or recommendations of data analysis. | أساسية | 0.5 |
| Adjust or repair testing, electrical, or mechanical equipment or devices. | أساسية | 0 |
| Read and study reports in order to compile information and data for geological and geophysical prospecting. | أساسية | 0.5 |
| Interview individuals, and research public databases in order to obtain information. | أساسية | 0.5 |
| Plot information from aerial photographs, well logs, section descriptions, or other databases. | أساسية | 0.5 |
| Assemble, maintain, or distribute information for library or record systems. | أساسية | 1 |
| Operate or adjust equipment or apparatus used to obtain geological data. | تكميلية | 0 |
| Plan and direct activities of workers who operate equipment to collect data. | تكميلية | 0.5 |
| Set up or direct set-up of instruments used to collect geological data. | تكميلية | 0 |
| Record readings in order to compile data used in prospecting for oil or gas. | تكميلية | 0.5 |
| Create photographic recordings of information, using equipment. | تكميلية | 0.5 |
| Measure geological characteristics used in prospecting for oil or gas, using measuring instruments. | تكميلية | 0 |
| Participate in the evaluation of possible mining locations. | تكميلية | 0.5 |
| Assess the environmental impacts of development projects on subsurface materials. | تكميلية | 0.5 |
| Evaluate and interpret core samples and cuttings, and other geological data used in prospecting for oil or gas. | تكميلية | 0.5 |
| Supervise well exploration, drilling activities, or well completions. | تكميلية | 0 |
| Inspect engines for wear or defective parts, using equipment or measuring devices. | تكميلية | 0 |
| Collaborate with hydrogeologists to evaluate groundwater or well circulation. | تكميلية | 0.5 |
| Apply new technologies, such as improved seismic imaging techniques, to locate untapped oil or natural gas deposits. | — | 0.5 |
| Collect data on underground areas, such as reservoirs, that could be used in carbon sequestration operations. | — | 0.5 |
| Collect geological data from potential geothermal energy plant sites. | — | 0.5 |
| Compile data used to address environmental issues, such as the suitability of potential landfill sites. | — | 0.5 |
| Conduct geophysical surveys of potential sites for wind farms or solar installations to determine their suitability. | — | 0.5 |
| Evaluate and interpret seismic data with the aid of computers. | — | 0.5 |
معلومات مهنية
المصادر والإسناد
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: 19-4043.00 Geological Technicians, Except Hydrologic Technicians
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.