--- NATIONAL WAGES ---
  total_employment : 23,480
  annual_median    : $41,800
  annual_pct10     : $34,330
  annual_pct25     : $36,600
  annual_pct75     : $50,220
  annual_pct90     : $62,820
  annual_mean      : $45,640
  hourly_median    : $20.10

--- GEOGRAPHIC DISPERSION ---
  highest_state    : Washington ($71,640)
  lowest_state     : Ohio ($33,420)
  dispersion_ratio : 2.144x

--- TOP STATES BY WAGE (37 total) ---
  Retail Trade                             emp:    5,730  median: $  37,890
  Wholesale Trade                          emp:    3,450  median: $  42,360
  Transportation and Warehousing           emp:    3,090  median: $  45,660
  Real Estate and Rental and Leasing       emp:    2,970  median: $  38,790
  Manufacturing                            emp:    2,390  median: $  49,460
  Federal, State, and Local Government, excluding State and Local Government Schools and Hospitals and the U.S. Postal Service (OEWS Designation) emp:    1,840  median: $  37,460
  Administrative and Support and Waste Management and Remediation Services emp:    1,460  median: $  43,480
  Construction                             emp:    1,020  median: $  58,280
  Health Care and Social Assistance        emp:      310  median: $  38,960
  Other Services (except Public Administration) emp:      270  median: $  46,910

--- TOP INDUSTRIES BY EMPLOYMENT (15 total) ---
  Retail Trade                             emp:    5,730  median: $  37,890
  Wholesale Trade                          emp:    3,450  median: $  42,360
  Transportation and Warehousing           emp:    3,090  median: $  45,660
  Real Estate and Rental and Leasing       emp:    2,970  median: $  38,790
  Manufacturing                            emp:    2,390  median: $  49,460
  Federal, State, and Local Government, excluding State and Local Government Schools and Hospitals and the U.S. Postal Service (OEWS Designation) emp:    1,840  median: $  37,460
  Administrative and Support and Waste Management and Remediation Services emp:    1,460  median: $  43,480
  Construction                             emp:    1,020  median: $  58,280
  Health Care and Social Assistance        emp:      310  median: $  38,960
  Other Services (except Public Administration) emp:      270  median: $  46,910

exact_match_status : no_exact_match
matched_title      : N/A
match_score        : 0.0000
wikidata_qid       : N/A
word_count         : 0
wikipedia_url      : N/A
license            : CC BY-SA 4.0
fetched_at         : 2026-06-02T23:41:09.053061Z

--- SEMANTIC NEIGHBORS (5) ---

  Title: Material handling (similarity: 0.4706)
  URL: https://en.wikipedia.org/wiki/Material_handling
  QID: Q1413942
  Extract: Material handling involves short-distance movement within the confines of a building or between a building and a transportation vehicle. It uses a wide range of manual, semi-automated, and automated equipment and includes consideration of the protection, storage, and control of materials throughout 

  Title: Women in the United States (similarity: 0.1667)
  URL: https://en.wikipedia.org/wiki/Women_in_the_United_States
  QID: Q17514041
  Extract: The legal status of women in the United States has advanced significantly over the past two centuries, but not yet equal to that of men in comparison to other high-income democracies.

  Title: Pornography (similarity: 0.2222)
  URL: https://en.wikipedia.org/wiki/Pornography
  QID: Q291
  Extract: 


Pornography is sexually suggestive material, such as a picture, video, text, or audio, intended for sexual arousal. Made for consumption by adults, pornographic depictions have evolved from cave paintings, some forty millennia ago, to modern-day virtual reality presentations. A general distinctio

  Title: Shovel (similarity: 0.2000)
  URL: https://en.wikipedia.org/wiki/Shovel
  QID: Q7220961
  Extract: A shovel is a tool used for digging, lifting, and moving bulk materials, such as soil, coal, gravel, snow, sand, or ore. Most shovels are hand tools consisting of a broad blade fixed to a medium-length handle. Shovel blades are usually made of sheet steel or hard plastics and are very strong. Shovel

  Title: Chemical plant (similarity: 0.2917)
  URL: https://en.wikipedia.org/wiki/Chemical_plant
  QID: Q905286
  Extract: A chemical plant is an industrial process plant that manufactures chemicals usually on a large scale. The general objective of a chemical plant is to create new material wealth via the chemical or biological transformation and or separation of materials. Chemical plants use specialized equipment, un

model_pass1          : claude-sonnet-4-20250514
model_pass2          : claude-haiku-4-5-20251001
inference_confidence : medium
confidence_notes     : Limited O*NET data due to catch-all nature of occupation, but wage and employment data from BLS is comprehensive. Job title samples provide good insight into role diversity, though detailed task analysis is constrained by the broad occupational definition.
inferred_at          : 2026-06-04T03:39:38.508615+00:00
tokens_input         : 2,233
tokens_output        : 3,237
cost_usd             : $0.033958
wikipedia_used       : False
wikipedia_title      : None
wikipedia_note       : No exact Wikipedia match found. The closest match 'Material handling' provides general context but doesn't capture the specialized, diverse nature of this catch-all occupation category.

--- PROSE FIELDS ---

ROLE SUMMARY:
Material Moving Workers, All Other encompasses specialized material handling roles not classified elsewhere, including barge loaders, boat operators, and industrial equipment handlers who move goods in unique settings. These workers operate in diverse environments from waterways to manufacturing facilities, handling specialized equipment and materials that require specific expertise. The role serves as a catch-all category for 23,480 workers performing critical but niche material movement functions across various industries.

DAY IN THE LIFE:
Workers begin shifts by inspecting specialized equipment like boat hoists, cage loaders, or brick wheelers for safety and functionality. They coordinate with supervisors to understand daily movement priorities and specific handling requirements for different materials. Throughout the day, they operate equipment to load barges, stack boards, move bobbins in textile operations, or handle specialized industrial materials. They maintain detailed records of materials moved and equipment performance. Workers perform routine maintenance on their equipment and follow strict safety protocols specific to their specialized environment.

WHO THRIVES:
Successful workers demonstrate strong mechanical aptitude and adaptability to learn diverse equipment types quickly. They possess excellent spatial awareness and physical coordination for operating specialized machinery safely in varied environments. These individuals are detail-oriented problem solvers who can troubleshoot equipment issues independently. They thrive on variety and enjoy working in unique industrial settings rather than standard warehouse environments. Strong communication skills help them coordinate with diverse teams across different industries and operational contexts.

CAREER ENTRY:
Most positions require a high school diploma or equivalent with on-the-job training specific to the specialized equipment and environment. Entry-level workers typically start as helpers, learning from experienced operators before advancing to independent operation. Some roles may require specific certifications like boat operation licenses or industrial equipment training. Previous experience in general material handling, construction, or mechanical work provides valuable foundation skills for transitioning into these specialized roles.

CAREER TRAJECTORY:
Experienced workers often advance to specialized equipment supervisors or move into related technical roles within their specific industries. Some transition to equipment maintenance and repair positions, leveraging their operational knowledge. Career growth may include becoming trainers for new specialized equipment or moving into logistics coordination roles. Others may pursue additional certifications to operate more complex machinery or transition to similar roles in higher-paying geographic markets or industries.

MARKET INTELLIGENCE:
According to BLS OEWS May 2025 data, the median annual wage is $41,800 with employment of 23,480 workers nationally. Geographic variation is significant, with Washington state offering the highest wages at $71,640 compared to Ohio's $33,420, representing a 2.14x difference that reflects regional industrial demands. Employment concentrates in Retail Trade (5,730), Wholesale Trade (3,450), and Transportation and Warehousing (3,090), indicating diverse industry applications. The specialized nature of these roles creates stable demand in niche markets, though employment growth depends on specific industry trends and technological changes in material handling.

AUTOMATION OUTLOOK:
The diverse and specialized nature of these roles provides some protection from automation, as many involve unique equipment or environments that are difficult to standardize. However, technological advances in automated material handling systems may gradually impact some functions, particularly in more standardized operations. The hands-on, adaptable nature of work across varied settings and equipment types makes full automation challenging in the near term.

--- REASONED EDGES ---
  [task_similarity] Laborers and Freight, Stock, and Material Movers, Hand (53-7062.00) — confidence:high
    reasoning: Both roles involve physical material movement and handling in industrial settings.
    data: material handling focus
    data: physical labor requirements
    data: industrial environment overlap
  [skill_overlap] Industrial Truck and Tractor Operators (53-7051.00) — confidence:high
    reasoning: Both require equipment operation skills and material movement coordination.
    data: equipment operation
    data: material coordination
    data: industrial setting
  [wage_band] Packers and Packagers, Hand (53-7064.00) — confidence:medium
    reasoning: Similar wage ranges and physical labor requirements in material handling.
    data: wage similarity
    data: manual labor
    data: material handling
  [transferable_skill] Construction Laborers (47-2061.00) — confidence:medium
    reasoning: Both require physical strength, equipment familiarity, and safety protocol adherence.
    data: physical requirements
    data: safety focus
    data: equipment handling
  [task_similarity] Hoist and Winch Operators (53-7041.00) — confidence:medium
    reasoning: Overlapping duties in specialized lifting and moving equipment operation.
    data: specialized equipment
    data: lifting operations
    data: safety protocols

--- NORMALIZER SIGNALS ---
  match_keywords   : ['material moving', 'barge loader', 'boat hoist', 'cage loader', 'bucket operator', 'specialized handling', 'industrial equipment', 'material handler']
  exclude_keywords : ['warehouse general', 'forklift operator', 'crane operator', 'truck driver', 'conveyor']
  title_patterns   : ['loader', 'operator helper', 'hauler', 'stacker', 'wheeler']
  common_variations: ['material mover other', 'specialized material handler', 'industrial material worker', 'equipment operator helper', 'material handling specialist', 'cargo handler other', 'freight handler specialized', 'material transport worker']

total_terms    : 40
top_words      : ['equipment', 'specialized', 'material', 'handling', 'materials', 'chemical', 'industrial', 'diverse', 'plant', 'manufacturing', 'made', 'plants', 'environments', 'industries', 'nature', 'movement', 'automated', 'control', 'shovel', 'moving']
source_layers  : onet_tasks | onet_dimensions | dwas | wikipedia | inference

TERM                    COUNT     FREQ  DOMINANT SOURCE      SOURCE BREAKDOWN
──────────────────────────────────────────────────────────────────────────────────────────
equipment                  18  0.03578  inference            inference:83%  wikipedia:17%
specialized                14  0.02783  inference            inference:93%  wikipedia:7%
material                   12  0.02386  inference            inference:58%  wikipedia:42%
handling                   10  0.01988  inference            inference:70%  wikipedia:30%
materials                   7  0.01392  inference            inference:57%  wikipedia:43%
chemical                    7  0.01392  wikipedia            wikipedia:100%
industrial                  6  0.01193  inference            inference:83%  wikipedia:17%
diverse                     6  0.01193  inference            inference:100%
plant                       5  0.00994  wikipedia            wikipedia:100%
manufacturing               4  0.00795  wikipedia            wikipedia:75%  inference:25%
made                        4  0.00795  wikipedia            wikipedia:100%
plants                      4  0.00795  wikipedia            wikipedia:100%
environments                4  0.00795  inference            inference:100%
industries                  4  0.00795  inference            inference:100%
nature                      4  0.00795  inference            inference:100%
movement                    3  0.00596  inference            inference:67%  wikipedia:33%
automated                   3  0.00596  wikipedia            wikipedia:67%  inference:33%
control                     3  0.00596  wikipedia            wikipedia:100%
shovel                      3  0.00596  wikipedia            wikipedia:100%
moving                      3  0.00596  inference            inference:67%  wikipedia:33%
usually                     3  0.00596  wikipedia            wikipedia:100%
strong                      3  0.00596  inference            inference:67%  wikipedia:33%
boat                        3  0.00596  inference            inference:100%
move                        3  0.00596  inference            inference:100%
unique                      3  0.00596  inference            inference:100%
settings                    3  0.00596  inference            inference:100%
operate                     3  0.00596  inference            inference:100%
provides                    3  0.00596  inference            inference:100%
building                    2  0.00398  wikipedia            wikipedia:100%
transportation              2  0.00398  wikipedia            wikipedia:50%  inference:50%
protection                  2  0.00398  wikipedia            wikipedia:50%  inference:50%
storage                     2  0.00398  wikipedia            wikipedia:100%
throughout                  2  0.00398  wikipedia            wikipedia:50%  inference:50%
warehousing                 2  0.00398  wikipedia            wikipedia:50%  inference:50%
consumption                 2  0.00398  wikipedia            wikipedia:100%
create                      2  0.00398  wikipedia            wikipedia:100%
utility                     2  0.00398  wikipedia            wikipedia:100%
creates                     2  0.00398  wikipedia            wikipedia:50%  inference:50%
pornography                 2  0.00398  wikipedia            wikipedia:100%
sexual                      2  0.00398  wikipedia            wikipedia:100%