--- NATIONAL WAGES ---
  total_employment : 15,900
  annual_median    : $45,950
  annual_pct10     : $35,350
  annual_pct25     : $39,190
  annual_pct75     : $54,100
  annual_pct90     : $65,510
  annual_mean      : $48,580
  hourly_median    : $22.09

--- GEOGRAPHIC DISPERSION ---
  highest_state    : Hawaii ($78,000)
  lowest_state     : Puerto Rico ($21,840)
  dispersion_ratio : 3.571x

--- TOP STATES BY WAGE (39 total) ---
  Manufacturing                            emp:   10,620  median: $  46,440
  Administrative and Support and Waste Management and Remediation Services emp:    2,630  median: $  43,360
  Wholesale Trade                          emp:    1,050  median: $  46,570
  Federal, State, and Local Government, excluding State and Local Government Schools and Hospitals and the U.S. Postal Service (OEWS Designation) emp:      550  median: $  72,380
  Construction                             emp:      530  median: $  39,720
  Retail Trade                             emp:      170  median: $  41,660

--- TOP INDUSTRIES BY EMPLOYMENT (6 total) ---
  Manufacturing                            emp:   10,620  median: $  46,440
  Administrative and Support and Waste Management and Remediation Services emp:    2,630  median: $  43,360
  Wholesale Trade                          emp:    1,050  median: $  46,570
  Federal, State, and Local Government, excluding State and Local Government Schools and Hospitals and the U.S. Postal Service (OEWS Designation) emp:      550  median: $  72,380
  Construction                             emp:      530  median: $  39,720
  Retail Trade                             emp:      170  median: $  41,660

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         : 2026-06-02T23:12:39.038150Z

--- SEMANTIC NEIGHBORS (5) ---

  Title: Industrial Workers of the World (similarity: 0.5067)
  URL: https://en.wikipedia.org/wiki/Industrial_Workers_of_the_World
  QID: Q1046722
  Extract: The Industrial Workers of the World (IWW), whose members are nicknamed "Wobblies", is an international labor union founded in Chicago, Illinois, United States, in 1905. Its ideology combines general unionism with industrial unionism, as it is a general union, subdivided between the various industrie

  Title: Lunchbox (similarity: 0.0769)
  URL: https://en.wikipedia.org/wiki/Lunchbox
  QID: Q694311
  Extract: A lunch box is a hand-held container used to transport food, usually to work or to school. It is commonly made of metal or plastic, is reasonably airtight and often has a handle for carrying.

  Title: Intensive farming in Almería (similarity: 0.2222)
  URL: https://en.wikipedia.org/wiki/Intensive_farming_in_Almer%C3%ADa
  QID: Q16482554
  Extract: The intensive agriculture of the province of Almeria, Spain, is a model of the utilization of highly technical means to achieve maximum economic yield based on the rational use of water, use of plastic greenhouses, highly technical training and high levels of employment of inputs, applied to the spe

  Title: Perforated metal (similarity: 0.1667)
  URL: https://en.wikipedia.org/wiki/Perforated_metal
  QID: Q3826460
  Extract: Perforated metal, also known as perforated sheet, perforated plate, or perforated screen, is sheet metal that has been manually or mechanically stamped or punched using CNC technology or in some cases laser cutting to create different holes sizes, shapes and patterns. Materials used to manufacture p

  Title: Mallet (similarity: 0.2000)
  URL: https://en.wikipedia.org/wiki/Mallet
  QID: Q3202271
  Extract: A mallet is a tool used for imparting force on another object, often made of rubber or sometimes wood, that is smaller than a maul or beetle, and usually has a relatively large head.

model_pass1          : claude-sonnet-4-20250514
model_pass2          : claude-haiku-4-5-20251001
inference_confidence : medium
confidence_notes     : Limited detailed O*NET data available for this catch-all category, but wage data and job titles provide reasonable basis for analysis. The diverse nature of roles included makes specific task analysis challenging.
inferred_at          : 2026-06-04T01:40:13.365766+00:00
tokens_input         : 2,303
tokens_output        : 3,326
cost_usd             : $0.034905
wikipedia_used       : False
wikipedia_title      : None
wikipedia_note       : No exact Wikipedia match found for this catch-all occupational category. The best semantic match was Industrial Workers of the World, which relates to labor organizing rather than specific job functions.

--- PROSE FIELDS ---

ROLE SUMMARY:
Metal Workers and Plastic Workers, All Other encompasses specialized production workers who operate machinery and perform fabrication tasks not classified in other specific metal or plastic working categories. These workers typically operate presses, forming machines, engraving equipment, and assembly machinery in manufacturing environments. The role represents a diverse collection of skilled production positions requiring mechanical aptitude and attention to detail.

DAY IN THE LIFE:
Workers in this category operate specialized machinery such as anvil seating presses, automatic engravers, balancing machines, and various forming equipment. They set up machines according to specifications, feed materials through production equipment, and monitor operations to ensure quality standards. Daily tasks include adjusting machine settings, performing quality checks on finished products, maintaining equipment, and troubleshooting basic mechanical issues. Workers may also handle material preparation, record production data, and coordinate with supervisors on job priorities.

WHO THRIVES:
Individuals who excel in this role typically possess strong mechanical aptitude and enjoy working with their hands in structured manufacturing environments. They demonstrate attention to detail when operating precision equipment and can maintain focus during repetitive tasks while ensuring consistent quality output. Problem-solving skills are essential for troubleshooting equipment issues and adapting to different production requirements. Workers who thrive are comfortable in industrial settings, can follow detailed procedures, and take pride in producing quality manufactured goods.

CAREER ENTRY:
Most positions require a high school diploma or equivalent, with on-the-job training provided for specific machinery and processes. Some workers may benefit from technical education in manufacturing, machining, or related fields, though formal certification is typically not required. Entry-level workers often start as machine operators or production assistants, learning equipment operation and safety procedures through hands-on experience under supervision.

CAREER TRAJECTORY:
Experienced workers can advance to lead operator positions, training roles, or specialized technical positions requiring advanced machine setup and troubleshooting skills. Some may transition to maintenance roles, quality control positions, or supervisory roles in production. Career progression often involves mastering multiple types of equipment and developing expertise in specific manufacturing processes or materials.

MARKET INTELLIGENCE:
According to BLS OEWS May 2025, the median annual wage is $45,950 with employment of 15,900 workers nationally. Wages range from $35,350 at the 10th percentile to $65,510 at the 90th percentile. Geographic dispersion shows significant variation, with Hawaii offering the highest wages at $78,000 and Puerto Rico the lowest at $21,840, representing a 3.57x ratio. The majority of employment is concentrated in manufacturing (10,620 workers), with additional opportunities in administrative and support services (2,630 workers) and wholesale trade (1,050 workers).

AUTOMATION OUTLOOK:
The diverse nature of this catch-all category suggests varying automation risk depending on specific tasks and equipment types. Some routine machine operation tasks may face automation pressure, while specialized setup, quality inspection, and troubleshooting activities requiring human judgment and dexterity are likely to remain important. The wide variety of specialized equipment represented in this category may delay comprehensive automation due to the cost of automating numerous different processes.

--- REASONED EDGES ---
  [task_similarity] Welders, Cutters, Solderers, and Brazers (51-4121.00) — confidence:high
    reasoning: Both roles involve metal fabrication and operate specialized machinery in manufacturing environments.
    data: Manufacturing industry concentration
    data: Metal working processes
    data: Similar wage ranges
  [skill_overlap] Tool Grinders, Filers, and Sharpeners (51-4194.00) — confidence:high
    reasoning: Both positions require precision machine operation and mechanical aptitude for metal working equipment.
    data: Machine operation titles like 'Bench Machine Operator'
    data: Manufacturing industry focus
  [knowledge_overlap] Molding, Coremaking, and Casting Machine Setters, Operators, and Tenders, Metal and Plastic (51-4072.00) — confidence:high
    reasoning: Direct overlap in plastic working processes and similar machine operation requirements.
    data: Plastic workers designation in title
    data: Similar wage band $45,950 vs plastic molding wages
  [career_pathway] Production Workers, All Other (51-9199.00) — confidence:medium
    reasoning: Both represent catch-all categories for specialized production work with similar entry requirements.
    data: Similar 'All Other' classification structure
    data: Manufacturing industry concentration
  [transferable_skill] Machinists (51-4041.00) — confidence:medium
    reasoning: Machine setup and operation skills transfer between these metal working specializations.
    data: Machine operation job titles
    data: Metal working focus
    data: Manufacturing environment

--- NORMALIZER SIGNALS ---
  match_keywords   : ['metal worker', 'plastic worker', 'press operator', 'machine operator', 'engraver', 'assembly machine', 'manufacturing operator', 'production worker']
  exclude_keywords : ['welder', 'machinist', 'assembler', 'inspector', 'supervisor']
  title_patterns   : ['* Machine Operator', '* Press Operator', '* Machine Tender', '* Worker', '* Operator']
  common_variations: ['Metal Workers All Other', 'Plastic Workers All Other', 'Metal and Plastic Workers', 'Production Machine Operators', 'Manufacturing Machine Operators', 'Specialty Machine Operators', 'Industrial Machine Operators', 'Metal Fabrication Workers']

total_terms    : 40
top_words      : ['equipment', 'production', 'metal', 'quality', 'industrial', 'plastic', 'perforated', 'specialized', 'manufacturing', 'technical', 'machinery', 'category', 'machine', 'troubleshooting', 'unionism', 'materials', 'steel', 'operate', 'typically', 'machines']
source_layers  : onet_tasks | onet_dimensions | dwas | wikipedia | inference

TERM                    COUNT     FREQ  DOMINANT SOURCE      SOURCE BREAKDOWN
──────────────────────────────────────────────────────────────────────────────────────────
equipment                  10  0.02364  inference            inference:100%
production                  7  0.01655  inference            inference:100%
metal                       6  0.01418  wikipedia            wikipedia:67%  inference:33%
quality                     6  0.01418  inference            inference:100%
industrial                  5  0.01182  wikipedia            wikipedia:60%  inference:40%
plastic                     5  0.01182  wikipedia            wikipedia:60%  inference:40%
perforated                  5  0.01182  wikipedia            wikipedia:100%
specialized                 5  0.01182  inference            inference:100%
manufacturing               5  0.01182  inference            inference:100%
technical                   4  0.00946  wikipedia            wikipedia:50%  inference:50%
machinery                   4  0.00946  inference            inference:100%
category                    4  0.00946  inference            inference:100%
machine                     4  0.00946  inference            inference:100%
troubleshooting             4  0.00946  inference            inference:100%
unionism                    3  0.00709  wikipedia            wikipedia:100%
materials                   3  0.00709  inference            inference:67%  wikipedia:33%
steel                       3  0.00709  wikipedia            wikipedia:100%
operate                     3  0.00709  inference            inference:100%
typically                   3  0.00709  inference            inference:100%
machines                    3  0.00709  inference            inference:100%
requiring                   3  0.00709  inference            inference:100%
mechanical                  3  0.00709  inference            inference:100%
automation                  3  0.00709  inference            inference:100%
world                       2  0.00473  wikipedia            wikipedia:50%  inference:50%
iww                         2  0.00473  wikipedia            wikipedia:100%
members                     2  0.00473  wikipedia            wikipedia:100%
union                       2  0.00473  wikipedia            wikipedia:100%
usually                     2  0.00473  wikipedia            wikipedia:100%
school                      2  0.00473  wikipedia            wikipedia:50%  inference:50%
made                        2  0.00473  wikipedia            wikipedia:100%
handle                      2  0.00473  wikipedia            wikipedia:50%  inference:50%
almeria                     2  0.00473  wikipedia            wikipedia:100%
highly                      2  0.00473  wikipedia            wikipedia:100%
greenhouses                 2  0.00473  wikipedia            wikipedia:100%
known                       2  0.00473  wikipedia            wikipedia:100%
sheet                       2  0.00473  wikipedia            wikipedia:100%
include                     2  0.00473  wikipedia            wikipedia:50%  inference:50%
working                     2  0.00473  inference            inference:100%
presses                     2  0.00473  inference            inference:100%
forming                     2  0.00473  inference            inference:100%