--- NATIONAL WAGES ---
  total_employment : 16,550
  annual_median    : N/A
  annual_pct10     : N/A
  annual_pct25     : N/A
  annual_pct75     : N/A
  annual_pct90     : N/A
  annual_mean      : N/A
  hourly_median    : $18.82

--- GEOGRAPHIC DISPERSION ---
  highest_state    : N/A
  lowest_state     : N/A
  dispersion_ratio : N/A

--- TOP STATES BY WAGE (0 total) ---
  Arts, Entertainment, and Recreation      emp:   11,250  median: $       0
  Accommodation and Food Services          emp:    1,520  median: $       0
  Educational Services                     emp:    1,510  median: $       0
  Information                              emp:    1,330  median: $       0
  Other Services (except Public Administration) emp:      270  median: $       0
  Administrative and Support and Waste Management and Remediation Services emp:      100  median: $       0
  Manufacturing                            emp:       40  median: $       0

--- TOP INDUSTRIES BY EMPLOYMENT (7 total) ---
  Arts, Entertainment, and Recreation      emp:   11,250  median: $       0
  Accommodation and Food Services          emp:    1,520  median: $       0
  Educational Services                     emp:    1,510  median: $       0
  Information                              emp:    1,330  median: $       0
  Other Services (except Public Administration) emp:      270  median: $       0
  Administrative and Support and Waste Management and Remediation Services emp:      100  median: $       0
  Manufacturing                            emp:       40  median: $       0

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         : 2026-06-02T21:25:17.745449Z

--- SEMANTIC NEIGHBORS (5) ---

  Title: Hollywood marriage (similarity: 0.0714)
  URL: https://en.wikipedia.org/wiki/Hollywood_marriage
  QID: Q5883076
  Extract: A Hollywood marriage originally meant a glamorous high society marriage between celebrities involved in the US film industry, as "Hollywood" is a common metonymous term for that industry; such marriages are more commonly known as supercouples in modern parlance. However, the term has grown to also h

  Title: List of people with Huguenot ancestry (similarity: 0.1553)
  URL: https://en.wikipedia.org/wiki/List_of_people_with_Huguenot_ancestry
  QID: Q6573630
  Extract: 
Some notable French Huguenots or people with French Huguenot ancestry include:

  Title: 16th AVN Awards (similarity: 0.1975)
  URL: https://en.wikipedia.org/wiki/16th_AVN_Awards
  QID: Q19863448
  Extract: The 16th AVN Awards ceremony, organized by Adult Video News (AVN) honored the best of 1998 in pornographic movies and took place on January 9, 1999, at Bally's Las Vegas, Las Vegas, Nevada. During the ceremony, AVN presented AVN Awards in 68 categories. The ceremony, televised by Playboy TV, was pro

  Title: Freak show (similarity: 0.1579)
  URL: https://en.wikipedia.org/wiki/Freak_show
  QID: Q2591557
  Extract: A freak show is an exhibition of biological rarities, referred to in popular culture as "freaks of nature". Typical features would be physically unusual humans, such as those uncommonly large or small, those with extraordinary diseases and conditions, and others with performances expected to be shoc

  Title: Sex industry (similarity: 0.1026)
  URL: https://en.wikipedia.org/wiki/Sex_industry
  QID: Q837322
  Extract: The sex industry, also called the sex trade, consists of businesses that either directly or indirectly provide sex-related products and services or adult entertainment. The industry includes activities involving direct provision of sex-related services, such as prostitution, strip clubs, host and ho

model_pass1          : claude-sonnet-4-20250514
model_pass2          : claude-haiku-4-5-20251001
inference_confidence : low
confidence_notes     : Limited source data available with no detailed skills, knowledge, abilities, or work activities provided. This catch-all category's broad nature makes specific analysis challenging without more granular occupational data.
inferred_at          : 2026-06-03T18:15:53.682888+00:00
tokens_input         : 2,183
tokens_output        : 3,253
cost_usd             : $0.033793
wikipedia_used       : False
wikipedia_title      : None
wikipedia_note       : No exact Wikipedia match found, with closest semantic neighbors focusing on broader entertainment industry topics rather than specific performer categories. The freak show entry provides some historical context for specialized entertainment performance.

--- PROSE FIELDS ---

ROLE SUMMARY:
Entertainers and Performers, Sports and Related Workers, All Other encompasses a diverse collection of specialized performance roles not classified elsewhere, including acrobats, clowns, circus performers, cheerleaders, and amusement park entertainers. These professionals create entertainment experiences through physical performance, comedy, athletic displays, or interactive audience engagement across venues from circuses to theme parks. This catch-all category represents unique entertainment niches that require specialized skills but don't fit standard performer classifications.

DAY IN THE LIFE:
A typical day varies dramatically by specialty but centers on live performance delivery and audience interaction. Circus performers might rehearse aerial routines in the morning, perform multiple shows throughout the day, and maintain their equipment between acts. Clowns and comedians develop new material, practice timing and delivery, interact with audiences during performances, and adapt their acts based on crowd response. Cheerleaders coordinate with teams, practice choreographed routines, perform at events, and engage fans during games or competitions.

WHO THRIVES:
Successful performers in this category combine strong physical coordination with natural showmanship and comfort performing before audiences. They possess creativity for developing unique acts, resilience to handle irregular schedules and travel demands, and adaptability to work in various venue types from intimate settings to large arenas. These individuals typically have high energy levels, strong interpersonal skills for audience engagement, and the discipline to maintain physical conditioning and practice routines. Risk tolerance and comfort with uncertainty are essential given the variable nature of entertainment work.

CAREER ENTRY:
Entry typically occurs through specialized training programs, apprenticeships, or self-directed skill development rather than formal higher education. Many circus performers train at circus schools or through mentorship with established acts, while comedians often start through open mic nights and comedy clubs. Cheerleaders may begin through school programs or competitive cheer organizations. Physical fitness, natural talent, and willingness to start in entry-level positions are more important than formal credentials.

CAREER TRAJECTORY:
Career progression often involves building reputation and skill level to access higher-profile venues and better compensation. Performers may advance from local venues to regional touring, major theme parks, or prestigious circus companies. Some transition into teaching, choreography, or entertainment management roles. Others develop signature acts that command premium rates or create their own entertainment companies. The career path is highly individualized and depends on specialty, market demand, and personal branding success.

MARKET INTELLIGENCE:
With 16,550 employed nationally according to BLS OEWS May 2025, this field shows concentrated employment in Arts, Entertainment, and Recreation (11,250), followed by Accommodation and Food Services (1,520) and Educational Services (1,510). Geographic concentration occurs around entertainment hubs, major metropolitan areas with theme parks, and regions with active circus or performance circuits. Demand fluctuates seasonally and economically, with theme parks and entertainment venues driving much of the employment. The gig economy nature means many work multiple venues or combine this with other employment.

AUTOMATION OUTLOOK:
Live entertainment performance remains highly resistant to automation due to the fundamental human connection and unpredictability that audiences value. While some technical aspects like lighting and sound may become more automated, the core performance elements requiring physical skill, creativity, and real-time audience interaction cannot be replicated by machines. The experiential nature of live entertainment actually positions these roles favorably as consumers increasingly seek authentic, in-person experiences.

--- REASONED EDGES ---
  [skill_overlap] Actors (27-2011) — confidence:high
    reasoning: Both roles require performance skills, audience engagement, and character portrayal abilities.
    data: live performance
    data: audience interaction
    data: entertainment delivery
  [riasec_cluster] Music Directors and Composers (27-2041) — confidence:medium
    reasoning: Both fall under artistic entertainment professions requiring creativity and performance coordination.
    data: arts entertainment industry
    data: creative performance
    data: audience engagement
  [task_similarity] Amusement and Recreation Attendants (39-3091) — confidence:medium
    reasoning: Both work in entertainment venues providing guest experiences and engagement.
    data: amusement park entertainer
    data: entertainment venues
    data: guest interaction
  [skill_overlap] Radio and Television Announcers (27-3011) — confidence:medium
    reasoning: Both require public speaking skills, audience engagement, and entertainment delivery.
    data: comedian role
    data: audience engagement
    data: performance delivery
  [transferable_skill] Elementary School Teachers (25-2021) — confidence:medium
    reasoning: Educational services employment suggests skills transfer to teaching and working with children.
    data: educational services industry
    data: cheerleader roles
    data: youth engagement

--- NORMALIZER SIGNALS ---
  match_keywords   : ['entertainer', 'performer', 'circus', 'clown', 'acrobat', 'cheerleader', 'amusement', 'comedian']
  exclude_keywords : ['musician', 'dancer', 'actor', 'singer', 'athlete']
  title_patterns   : ['circus performer', 'amusement park entertainer', 'specialty performer', 'variety entertainer', 'live entertainer']
  common_variations: ['circus artist', 'variety performer', 'specialty act', 'live entertainment', 'performance artist', 'entertainment specialist', 'show performer', 'attraction performer']

total_terms    : 40
top_words      : ['sex', 'entertainment', 'performers', 'performance', 'physical', 'acts', 'circus', 'marriage', 'ceremony', 'adult', 'services', 'venues', 'avn', 'awards', 'movies', 'nature', 'shows', 'clubs', 'specialized', 'audience']
source_layers  : onet_tasks | onet_dimensions | dwas | wikipedia | inference

TERM                    COUNT     FREQ  DOMINANT SOURCE      SOURCE BREAKDOWN
──────────────────────────────────────────────────────────────────────────────────────────
sex                        13  0.02273  wikipedia            wikipedia:100%
entertainment              13  0.02273  inference            inference:92%  wikipedia:8%
performers                  7  0.01224  inference            inference:86%  wikipedia:14%
performance                 7  0.01224  inference            inference:100%
physical                    6  0.01049  inference            inference:83%  wikipedia:17%
acts                        6  0.01049  inference            inference:83%  wikipedia:17%
circus                      6  0.01049  inference            inference:100%
marriage                    5  0.00874  wikipedia            wikipedia:100%
ceremony                    5  0.00874  wikipedia            wikipedia:100%
adult                       5  0.00874  wikipedia            wikipedia:100%
services                    5  0.00874  wikipedia            wikipedia:60%  inference:40%
venues                      5  0.00874  inference            inference:100%
avn                         4  0.00699  wikipedia            wikipedia:100%
awards                      4  0.00699  wikipedia            wikipedia:100%
movies                      4  0.00699  wikipedia            wikipedia:100%
nature                      4  0.00699  inference            inference:75%  wikipedia:25%
shows                       4  0.00699  wikipedia            wikipedia:50%  inference:50%
clubs                       4  0.00699  wikipedia            wikipedia:75%  inference:25%
specialized                 4  0.00699  inference            inference:100%
audience                    4  0.00699  inference            inference:100%
theme                       4  0.00699  inference            inference:100%
parks                       4  0.00699  inference            inference:100%
hollywood                   3  0.00524  wikipedia            wikipedia:100%
term                        3  0.00524  wikipedia            wikipedia:100%
strong                      3  0.00524  inference            inference:67%  wikipedia:33%
show                        3  0.00524  wikipedia            wikipedia:67%  inference:33%
freak                       3  0.00524  wikipedia            wikipedia:67%  inference:33%
demand                      3  0.00524  inference            inference:67%  wikipedia:33%
cheerleaders                3  0.00524  inference            inference:100%
live                        3  0.00524  inference            inference:100%
routines                    3  0.00524  inference            inference:100%
practice                    3  0.00524  inference            inference:100%
audiences                   3  0.00524  inference            inference:100%
entry                       3  0.00524  inference            inference:100%
glamorous                   2  0.00350  wikipedia            wikipedia:100%
known                       2  0.00350  wikipedia            wikipedia:100%
negative                    2  0.00350  wikipedia            wikipedia:100%
connotations                2  0.00350  wikipedia            wikipedia:100%
short                       2  0.00350  wikipedia            wikipedia:100%
french                      2  0.00350  wikipedia            wikipedia:100%