First-Line Supervisors of Passenger Attendants
Transportation and Material Moving Occupations- O*NET-SOC-Code
- 53-1044.00
Supervise and coordinate activities of passenger attendants.
Berufsbezeichnungen und Aufgabenbeschreibungen werden wie veröffentlicht auf Englisch angezeigt. Beschriftungen, einschließlich der Aufgabenarten, sind übersetzt.
KI-Exposition
- Datenquelle: ILOVeröffentlicht: 2025
0.09–0.58· 27 ISCO-08-Gruppen
Skala, Bezugsmenge und Quelle
Index der Exposition gegenüber generativer KI, 0–1 wie veröffentlicht
Veröffentlicht je ISCO-08-Berufsgattung. Mit diesem Beruf ganz oder teilweise verknüpft durch Anwendung der Umsteigeschlüssel des U.S. Bureau of Labor Statistics (ISCO-08 zu SOC 2010, SOC 2010 zu SOC 2018) in veröffentlichter Form
- Datenquelle: OpenAIVeröffentlicht: 2023
0.316
0.000Spannweite der hier geführten Werte0.844Skala, Bezugsmenge und Quelle
β menschlicher Bewerter, 0–1 wie veröffentlicht
Auf O*NET-Aufgaben abgebildet
ILO-Wert je verknüpfter ISCO-08-Gruppe
- ISCO-08 3151Ships' Engineers0.23
- ISCO-08 3152Ships' Deck Officers and Pilots0.29
- ISCO-08 3153Aircraft Pilots and Related Associate Professionals0.27
- ISCO-08 3154Air Traffic Controllers0.31
- ISCO-08 3257Environmental and Occupational Health Inspectors and Associates0.24
- ISCO-08 3423Fitness and Recreation Instructors and Programme Leaders0.25
- ISCO-08 4414Scribes and Related Workers0.58
- ISCO-08 5111Travel Attendants and Travel Stewards0.22
- ISCO-08 5112Transport Conductors0.25
- ISCO-08 5113Travel Guides0.32
- ISCO-08 5141Hairdressers0.17
- ISCO-08 5142Beauticians and Related Workers0.18
- ISCO-08 5162Companions and Valets0.22
- ISCO-08 5164Pet Groomers and Animal Care Workers0.14
- ISCO-08 5169Personal Services Workers Not Elsewhere Classified0.21
- ISCO-08 5245Service Station Attendants0.24
- ISCO-08 5311Child Care Workers0.19
- ISCO-08 5322Home-based Personal Care Workers0.25
- ISCO-08 8311Locomotive Engine Drivers0.20
- ISCO-08 8312Railway Brake, Signal and Switch Operators0.17
- ISCO-08 8321Motorcycle Drivers0.25
- ISCO-08 8322Car, Taxi and Van Drivers0.28
- ISCO-08 8331Bus and Tram Drivers0.18
- ISCO-08 8332Heavy Truck and Lorry Drivers0.24
- ISCO-08 8343Crane, hoist and related plant operators0.18
- ISCO-08 8344Lifting Truck Operators0.20
- ISCO-08 9611Garbage and Recycling Collectors0.09
KI-Exposition (OpenAI-Rubrik)
19 bewertete Aufgaben · 10 Aufgaben mit β ≥ 0,5 (52.6%)
β = direkte Exposition (E1) + 0,5 × Exposition bei verfügbaren Werkzeugen (E2), gemäß der Definition des Quell-Repositorys.
- Quelleinheit: Aufgaben aus O*NET 27.2 → Berufscode aus O*NET 31.0
- Alle bewerteten Aufgaben stehen in der Aufgabenliste von O*NET 31.0.
- Quelle
- OpenAI "GPTs are GPTs" exposure rubric
- Ausgabe
- gh-main-0471612
- Lizenz
- MIT License, Copyright (c) 2024 OpenAI
Aufgaben
Aufgabenbeschreibungen aus der O*NET® 31.0 Database, Kernaufgaben zuerst.
| Aufgabe | Art | β (OpenAI) |
|---|---|---|
| Analyze and record personnel or operational data and write related activity reports. | Kern | 1 |
| Apply customer feedback to service improvement efforts. | Kern | 0,5 |
| Compute or estimate cash, payroll, transportation, or personnel requirements. | Kern | 0,5 |
| Confer with customers, supervisors, contractors, or other personnel to exchange information or to resolve problems. | Kern | 0 |
| Enforce safety rules and regulations. | Kern | 0 |
| Explain and demonstrate work tasks to new workers or assign training tasks to experienced workers. | Kern | 0 |
| Inform workers about interests or special needs of specific groups. | Kern | 0,5 |
| Inspect materials, stock, vehicles, equipment, or facilities to ensure that they are safe, free of defects, and consistent with specifications. | Kern | 0,5 |
| Inspect work areas or operating equipment to ensure conformance to established standards in areas such as cleanliness or maintenance. | Kern | 0 |
| Meet with managers or other supervisors to stay informed of changes affecting operations. | Kern | 0 |
| Observe and evaluate workers' appearance and performance to ensure quality service and compliance with specifications. | Kern | 0 |
| Participate in continuing education to stay abreast of industry trends and developments. | Kern | 0,5 |
| Recommend and implement measures to improve worker motivation, work methods, or customer services. | Kern | 0,5 |
| Requisition necessary supplies, equipment, or services. | Kern | 0,5 |
| Resolve customer complaints regarding worker performance or services rendered. | Kern | 0,5 |
| Take disciplinary action to address performance problems. | Kern | 0 |
| Train workers in proper operational procedures and functions and explain company policies. | Kern | 0 |
| Direct or coordinate the activities of workers, such as flight or car attendants. | Ergänzend | 0 |
| Recruit and hire staff members. | Ergänzend | 0,5 |
Berufsinformationen
Quellen und Namensnennung
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: 53-1044.00 First-Line Supervisors of Passenger Attendants
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.