# Christine Martin (@steeniebeanie) on tiktok

- id: koinon:creator:tiktok_steeniebeanie
- url: https://koinonlink.com/kol/tiktok/steeniebeanie
- schema_version: 1.4

## Identity
- platform: tiktok
- handle: steeniebeanie
- platform_url: https://www.tiktok.com/@steeniebeanie
- country: United States
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 31328
- following: 736
- posts_observed: 13
- verified: false
- size_tier: koc

## Engagement
- status: not_collected
- status_note: Engagement has not been collected for this creator yet. This is a gap in our collection, NOT a statement that the creator has no engagement. Follower count is known, so it is measurable.
- unit_note: engagement_rate and peak_post_engagement_rate are ratios (0-1); avg_interactions_per_post and best_post_interactions are absolute counts. Read status before reading any number: a null rate has several different causes and status says which one applies here.

## Content
- category: lifestyle
- subcategory: fashion
- category_confidence: 0.85
- category_source: derived_from_recent_content
- topics: nurse life and hospital humor, fashion hauls and outfit inspo, honeymoon and travel vlogs, bachelorette and wedding prep, personal married life moments

## Audience (inferred)
- status: present
- description: young female nurses, nursing professionals, and general consumers interested in fashion styling, honeymoon travel, and wedding content
- roles: consumer
- seniority: consumer
- pain_points: exhaustion and burnout from nursing duties, seeking relaxing and stress-relieving content, finding chic workwear, wedding, and travel outfits on a tight budget, overwhelm from the complexity of planning and shopping for honeymoons and trips, struggling to balance professional identity with personal fashion and lifestyle aspirations
- posts_analysed: 40
- confidence: 0.75

## Commercial (inferred)
- audience_buyer_fit: 0.2
- promotion_intent: 0.1
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 50
- authenticity_basis: profile_shape_only
- credibility_score: 50
- flagged_for_review: false
- koinon_bd_grade: C — measures Koinon partner-outreach fit, not creator quality
- interpretation: Signals for triage, not verdicts. A flag means the profile is worth a manual check.

## Evidence
- [tiktok_steeniebeanie#3ff94b38] nurses in stem 🤓 #nurse #nursesoftiktok #hospitallife (https://www.tiktok.com/@steeniebeanie)
- [tiktok_steeniebeanie#449c4ab9] pdubcookin shake it to the max flip
- [tiktok_steeniebeanie#e3d010ec] It is a becoming a big trend on TikTok now! Click here: nurse
- [tiktok_steeniebeanie#7011f5ff] Check out Christine Martin’s video! #TikTok >
- [tiktok_steeniebeanie#3bae6ab0] Can you tell I work in the hospital 🤓  #scrubs #healthcareworker #laundryhack #laundrytips #nurse
- [tiktok_steeniebeanie#dce7f5d0] original sound - steeniebeanie
- [tiktok_steeniebeanie#a33ee0a8] Stay until the end to find out the chicest one of them all 😉  #nursetiktok #nurseproblems #nursinglife #registerednurse #chic
- [tiktok_steeniebeanie#0c25b49e] Let's get @danielleroling married 🤍🤍 @Alexis @Sam Edelman @Anthropologie  #gdwm #bacheloretteparty #bacheloretteoutfit #bachelorettetheme #womensfashion

## Provenance
Every inferred field below carries how it was produced. Facts stay facts; inferences stay inferences.

- audience.description: source_type=ai_inferred, confidence=0.75, freshness_days=62, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=62, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=62, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=62, method=llm_scorer — Relative signal within Koinon indexing, not a market-wide score.
- commercial.promotion_intent: source_type=ai_inferred, confidence=0.6, freshness_days=62, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=88, method=profile_snapshot_and_engagement_ratio_heuristic — Means "worth a manual check", NOT confirmed fraud. Flags can be wrong and are not a verdict about the person.
- quality.authenticity_score: source_type=heuristic, confidence=0.25, freshness_days=62, method=Profile-shape heuristic from a single snapshot (follower count, following ratio, account age, posting volume, verification), reduced for engagement red flags where post engagement was collected. Where only a follower count is available the score saturates at 58. — The input set differs by platform; do not compare this score across platforms.
- quality.koinon_bd_grade: source_type=ai_inferred, confidence=0.5, freshness_days=88, method=llm_partner_fit_classifier + fit_score >= 0.6 AND authenticity >= 60 => A; fit_score >= 0.4 AND authenticity >= 45 => B; else C. authenticity < 30 or a promotional-pattern flag => quarantine. — Koinon partner-outreach fit, not creator quality.
- reach.followers: source_type=observed, confidence=0.95, freshness_days=88, method=platform_profile

## Freshness
- profile_checked_days_ago: 88
- content_analysed_days_ago: 62
- audience_updated_days_ago: 62

## AI retrieval
- indexing_requests: 15
- user_triggered_requests: 0
- note: Being indexed in bulk is not the same as being retrieved to answer a question.

## This profile
- Claim or correct: https://koinonlink.com/claim?k=tiktok_steeniebeanie
- Request removal: https://koinonlink.com/claim?k=tiktok_steeniebeanie
- Terms: https://koinonlink.com/for-ai