O*NET-SOC コード
19-1031.00

Manage, improve, and protect natural resources to maximize their use without damaging the environment. May conduct soil surveys and develop plans to eliminate soil erosion or to protect rangelands. May instruct farmers, agricultural production managers, or ranchers in best ways to use crop rotation, contour plowing, or terracing to conserve soil and water; in the number and kind of livestock and forage plants best suited to particular ranges; and in range and farm improvements, such as fencing and reservoirs for stock watering.

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

    高い· 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

    職業群単位の値

    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

    0.38

    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 30 件 · β ≥ 0.5 のタスク 26 件(86.7%)

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)
Implement soil or water management techniques, such as nutrient management, erosion control, buffers, or filter strips, in accordance with conservation plans.コア0
Advise land users, such as farmers or ranchers, on plans, problems, or alternative conservation solutions.コア0.5
Monitor projects during or after construction to ensure projects conform to design specifications.コア0.5
Visit areas affected by erosion problems to identify causes or determine solutions.コア0.5
Develop or maintain working relationships with local government staff or board members.コア0
Apply principles of specialized fields of science, such as agronomy, soil science, forestry, or agriculture, to achieve conservation objectives.コア0.5
Gather information from geographic information systems (GIS) databases or applications to formulate land use recommendations.コア0.5
Compute design specifications for implementation of conservation practices, using survey or field information, technical guides or engineering manuals.コア0.5
Participate on work teams to plan, develop, or implement programs or policies for improving environmental habitats, wetlands, or groundwater or soil resources.コア0.5
Conduct fact-finding or mediation sessions among government units, landowners, or other agencies to resolve disputes.コア0.5
Revisit land users to view implemented land use practices or plans.コア0
Respond to complaints or questions on wetland jurisdiction, providing information or clarification.コア0.5
Compute cost estimates of different conservation practices, based on needs of land users, maintenance requirements, or life expectancy of practices.コア0.5
Provide information, knowledge, expertise, or training to government agencies at all levels to solve water or soil management problems or to assure coordination of resource protection activities.コア0.5
Analyze results of investigations to determine measures needed to maintain or restore proper soil management.コア0.5
Coordinate or implement technical, financial, or administrative assistance programs for local government units to ensure efficient program implementation or timely responses to requests for assistance.コア0.5
Identify or recommend integrated weed and pest management (IPM) strategies, such as resistant plants, cultural or behavioral controls, soil amendments, insects, natural enemies, barriers, or pesticides.コア0.5
Review proposed wetland restoration easements or provide technical recommendations.コア0.5
Develop, conduct, or participate in surveys, studies, or investigations of various land uses to inform corrective action plans.コア0.5
Manage field offices or involve staff in cooperative ventures.コア0
Plan soil management or conservation practices, such as crop rotation, reforestation, permanent vegetation, contour plowing, or terracing, to maintain soil or conserve water.コア0.5
Initiate, schedule, or conduct annual audits or compliance checks of program implementation by local government.コア0.5
Review or approve amendments to comprehensive local water plans or conservation district plans.コア0.5
Develop or conduct environmental studies, such as plant material field trials or wildlife habitat impact studies.コア0.5
Enter local soil, water, or other environmental data into adaptive or Web-based decision tools to identify appropriate analyses or techniques.コア0.5
Compile or interpret biodata to determine extent or type of wetlands or to aid in program formulation.コア0.5
Review annual reports of counties, conservation districts, or watershed management organizations, certifying compliance with mandated reporting requirements.コア0.5
Review grant applications or make funding recommendations.コア0.5
Develop soil maps.コア0.5
Develop water conservation or harvest plans, using weather information systems, irrigation information management systems, or other sources of daily evapotranspiration (ET) data.補足0.5

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: 19-1031.00 Conservation Scientists

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