# Miss Gordon 🌸✨ (@_learnwithem) on tiktok

- id: koinon:creator:tiktok__learnwithem
- url: https://koinonlink.com/kol/tiktok/_learnwithem
- schema_version: 1.4

## Identity
- platform: tiktok
- handle: _learnwithem
- platform_url: https://www.tiktok.com/@_learnwithem
- website: https://linktr.ee/emslearningresources
- country: United Kingdom
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 4305
- following: 396
- posts_total: 15
- posts_observed: 8
- verified: false
- size_tier: nano

## 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: entertainment
- subcategory: mindset
- category_confidence: 0.96
- category_source: derived_from_recent_content
- topics: Zones of Regulation and sensory regulation tools, Restorative conversation boards and conflict repair, SEND classroom resources and lanyard visuals, Teacher daily routines and provision setup, Back-to-school and end-of-term survival tips
- bio: SEND Teacher | x2 Ready to Learn Provisions ✨
UK 📍

## Audience (inferred)
- status: present
- description: UK SEND teachers and special education practitioners who work in provisions or mainstream classrooms supporting children with emotional regulation and sensory needs
- roles: none
- seniority: practitioner
- pain_points: Struggling to manage emotional outbursts and keep SEND students regulated during the school day, Finding affordable, ready-to-use sensory tools, visuals and regulation resources that actually work in class, Running restorative conversations that focus on repair instead of blame without enough structured support, Surviving end-of-term exhaustion, heatwaves and high sensory demands while staying calm for the children
- 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: 39
- authenticity_basis: profile_shape_only
- credibility_score: 39
- 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__learnwithem#ae3e8569] My Restorative Conversation Board 🌿 A way to guide calm, reflective & meaningful discussions that are focussed on repair, not blame. ❤️ Would you use something like this in your classroom? ✨ #teacherlife #teachertiktok #behaviourmanagement #send #classroommanagement (https://www.tiktok.com/@_learnwithem)
- [tiktok__learnwithem#8f294b00] Storytelling
- [tiktok__learnwithem#5a6b7460] POV: Back to school...but this time you're the teacher.
- [tiktok__learnwithem#dd616df0] It is a becoming a big trend on TikTok now! Click here: teacherlife
- [tiktok__learnwithem#114e482a] Check out em 🌸✨’s video! #TikTok >
- [tiktok__learnwithem#af96f912] Zones of Regulation 🌈 Introducing my zones of regulation station in my Ready to Learn provision 💫 This is a space to help children:  - Recognise their emotions 💭 - Choose strategies to regulate 🧠 - Build independence and self-awareness 🤝 Creating a calm, supportive environme

## 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=56, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=56, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=56, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=56, 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=56, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=93, 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=56, 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=93, 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=93, method=platform_profile

## Freshness
- profile_checked_days_ago: 93
- content_analysed_days_ago: 56
- audience_updated_days_ago: 56

## AI retrieval
- indexing_requests: 8
- 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__learnwithem
- Request removal: https://koinonlink.com/claim?k=tiktok__learnwithem
- Terms: https://koinonlink.com/for-ai