Code O*NET-SOC
47-4091.00

Lay out, cut, and place segmental paving units. Includes installers of bedding and restraining materials for the paving units.

Les intitulés des métiers et les énoncés de tâches sont affichés en anglais, tels que publiés. Les libellés, y compris les types de tâches, sont traduits.

Exposition à l'IA

  • Source des données: ILOPublié: 2025

    0.10–0.11· 2 groupes ISCO-08

    Échelle, base et source

    Indice d'exposition à l'IA générative, 0–1 tel que publié

    Publié par groupe de base ISCO-08. Relié à ce métier, en tout ou en partie, en appliquant tels que publiés les tableaux de correspondance du U.S. Bureau of Labor Statistics (ISCO-08 vers SOC 2010, SOC 2010 vers SOC 2018)

    Jeu de données source (téléchargement PDF)

  • Source des données: OpenAIPublié: 2023

    0.083

    0.000Étendue des valeurs présentées ici0.844
    Échelle, base et source

    β des évaluateurs humains, 0–1 tel que publié

    Rapporté aux tâches O*NET

    Jeu de données source (téléchargement CSV)

Valeur ILO pour chaque groupe ISCO-08 relié
  • ISCO-08 7113Stonemasons, Stone Cutters, Splitters and Carvers0.11
  • ISCO-08 7114Concrete Placers, Concrete Finishers and Related Workers0.10

Exposition à l’IA (grille d’OpenAI)

12 tâches évaluées · 1 tâches avec β ≥ 0,5 (8.3%)

β = exposition directe (E1) + 0,5 × exposition lorsque des outils sont disponibles (E2), selon la définition du dépôt source.

  • Unité source : tâches O*NET 27.2 → code de métier O*NET 31.0
  • Toutes les tâches notées figurent dans la liste des tâches O*NET 31.0.
Source
OpenAI "GPTs are GPTs" exposure rubric
Version
gh-main-0471612
Licence
MIT License, Copyright (c) 2024 OpenAI

Tâches

Énoncés de tâches de l’O*NET® 31.0 Database, les tâches principales d’abord.

TâcheTypeβ (OpenAI)
Supply and place base materials, edge restraints, bedding sand and jointing sand.Principale0
Prepare base for installation by removing unstable or unsuitable materials, compacting and grading the soil, draining or stabilizing weak or saturated soils and taking measures to prevent water penetration and migration of bedding sand.Principale0
Sweep sand from the surface prior to opening to traffic.Principale0
Set pavers, aligning and spacing them correctly.Principale0
Sweep sand into the joints and compact pavement until the joints are full.Principale0
Compact bedding sand and pavers to finish the paved area, using a plate compactor.Principale0
Design paver installation layout pattern and create markings for directional references of joints and stringlines.Principale0,5
Resurface an outside area with cobblestones, terracotta tiles, concrete or other materials.Principale0
Discuss the design with the client.Principale0
Cut paving stones to size and for edges, using a splitter and a masonry saw.Principale0
Screed sand level to an even thickness, and recheck sand exposed to elements, raking and rescreeding if necessary.Principale0
Cement the edges of the paved area.Principale0

Informations professionnelles

Sources et attribution

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: 47-4091.00 Segmental Pavers

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.

Attribution et licences complètes