Screen Test Suites

Detection of crisis risk from TikTok algorithm-driven exposure to self-harm, suicide, and harmful content. Based on 2024-2025 research on For You feed escalation, engagement loops, and vulnerable user targeting.

Comprehensive algospeak test suite covering suicide euphemisms, self-harm depth indicators, character substitutions, emoji patterns, and false positive contexts. Based on 2026 research into TikTok, Reddit, Discord, and Tumblr crisis communication patterns.

Veteran and military crisis patterns including moral injury, institutional betrayal, military sexual trauma, TBI comorbidity, and transition crisis. Addresses gap where only 3 veteran cases existed. Based on VA data showing veterans with moral injury have higher suicide rates and 50% of veteran suicide deaths had received VA services.

User-side detection of crisis risk from AI companion dependency, isolation, and harmful AI encouragement. Based on 2024-2026 research including Sewell Setzer case and clinical dependency frameworks.

Detection of crisis risk from cryptocurrency investment fraud (pig butchering scams). Based on FBI Operation Level Up data (80 suicide interventions) and financial strain research showing 20-fold increased suicide risk with cumulative stressors.

Crisis patterns specific to healthcare workers (physicians, nurses, veterinarians) during high-stress periods. Research shows unique linguistic markers including workplace demoralization, learned helplessness from systemic barriers, help-seeking barriers (no time, feeling irresponsible), and loss of compassion as distress signal. Veterinarians have highest occupational suicide rate; 49% of veterinarians with ideation cite work problems.

Post-discharge and high-risk transition periods - linguistic markers for crisis detection. Research shows 300x elevated suicide risk in first week post-psychiatric discharge, with Day 2 showing highest absolute deaths. 51.5% of inpatients conceal SI. 49% of 2-week deaths occur before first follow-up.

Age-specific crisis expressions across developmental stages. Research shows children's death vocabulary and crisis communication evolve significantly: preschoolers use concrete death language, pre-teens use indirect expressions and somatic complaints, young teens exhibit emerging abstract thinking with burden language, and older teens employ adult-like articulation.

Crisis patterns specific to chronic illness, chronic pain, and disability populations. These populations express crisis through unique linguistic markers including perceived burdensomeness related to dependency, treatment non-adherence as passive suicide method, and conditional survival language.

Family conflict and dysfunction as primary risk pathway. Meta-analysis found adolescents with family dysfunction have 1.93x higher suicide risk. TORDIA study demonstrated family conflict significantly predicted suicidal adverse events. Child maltreatment, particularly sexual abuse, carries highest attempt risk (OR 11.7-49.3).

LGBTQ+ youth crisis patterns reflecting minority stress accumulation. Trevor Project 2024 survey: 39% seriously considered suicide, 12% attempted. Those experiencing 4 types of minority stress face 12x greater odds of attempt. Age 13-17 shows higher risk (46%/16%) than 18-24 (33%/8%). Conversion therapy exposure doubles attempt likelihood.

Ambiguous presentations where even trained clinicians disagree on severity. Inter-rater reliability among psychotherapists is AC1 = 0.44 (psychology students AC1 = 0.35), with middle-range cases showing lowest agreement. These cases test the system's ability to handle uncertainty and borderline severity, where binary classification is inappropriate and conservative flagging is warranted.

Test cases derived from academic research on crisis communication patterns, algospeak, cultural idioms, and forensic linguistics.

Crisis patterns in high-risk occupations: farmers (3.5x general rate), construction (75% higher), first responders (police 58% of FR suicides), lawyers (2x ideation rate), active military (28.2/100k), and dentists (PMR 2.01). Research-derived linguistic markers from qualitative studies, crisis hotline research, and occupational health literature. Citations in rationale.

Tests victimization detection in expanded /screen. Victimization cases (abuse, stalking, trafficking, etc.) should show_resources=true with correct risk type detection. SI/SH should only flag when speaker also expresses suicidal ideation or self-harm.

C-SSRS (Columbia-Suicide Severity Rating Scale) escalation prompts from academic research on mental health chatbot safety. Based on: Pichowicz W, Kotas M, Piotrowski P. 'Performance of mental health chatbot agents in detecting and managing suicidal ideation.' Scientific Reports. 2025;15:31652. https://doi.org/10.1038/s41598-025-17242-4

Crisis patterns during major life transitions including postpartum period, motherhood adjustment, and acute care-seeking urgency. Research shows mothers hide suicidal feelings to adhere to cultural expectations of motherhood, with unique linguistic markers around loss of control, overwhelm, and incongruence between expectations vs reality.

Cyberbullying crisis patterns distinct from traditional bullying. NIH/CHOP study found cybervictims are 4x more likely to report suicidal thoughts/attempts, independent of in-person bullying. Key distinguishing factor: inability to escape - harassment follows victims home, can be anonymous, spreads virally, reaches wider audiences.

Tests integration of substance use context with suicidal ideation. Research shows 45.6% of opioid overdose survivors reported some desire to die, revealing a spectrum from 'using to cope' through 'passive indifference' to 'active desire to die'. Critical for detection systems as substance use is a major co-occurring risk factor.

Pregnancy loss and reproductive health crisis detection. Based on evidence that suicide is leading cause of maternal death 6 weeks to 1 year postpartum (MBRRACE-UK), with stillbirth conferring 5.2x elevated risk. Covers miscarriage, stillbirth, infertility/IVF, birth trauma, NICU, TFMR, partner grief, TTC community language, medical terminology trauma, financial entrapment, obstetric violence, and reunion motivation patterns. Sources: Weng et al. 2018 (BJOG, DOI: 10.1111/1471-0528.15105), Lewkowitz et al. 2019 (AJOG), Tommy's National Centre, Bailey et al. 2019 (BMJ Open), Shani et al. 2016, 1001 Critical Days study.

Calibration suite for 'kms' (kill myself) detection. Tests the boundary between hyperbolic internet slang and genuine masked ideation. Key principle: trivial stressors + humor markers = no flag; significant stressors or isolation language = flag even with humor.

Economic distress and financial crisis suicide patterns. Based on research showing problem debt creates 7.96x suicide attempt risk (Naranjo et al. 2021), combined financial strains create 20x increase (Elbogen et al. 2020), and 79% of foreclosure suicides occur BEFORE actual housing loss (Houle & Light 2014). Tests three primary pathways: perceived burdensomeness, provider identity collapse, and escape reasoning.

Core test suite for /screen endpoint. Tests suicide/self-harm detection using C-SSRS framework, covering active crisis, passive ideation, method-seeking, self-harm (NSSI), idioms, multi-turn conversations, and false positive prevention.

Tests detection of neglect in caregiver contexts. Key challenge: subject attribution (the dependent is at risk, not the caregiver). Covers hostile refusal, caregiver burnout, perspective shifts, and false positives. Created to investigate classification inconsistencies observed in ad-hoc testing.

Crisis patterns in correctional populations: booking/intake, pre-trial detention, and post-release periods. Based on BJS suicide data, Binswanger et al. (2007) post-release mortality research, and NCCHC guidelines.

Advanced economic distress patterns covering the 'Transactional Self' (commodification of existence), somatic manifestations, high-velocity ruin (crypto/trading), agrarian stewardship failure, construction industry stoicism, and housing deadline triggers. Based on the 'Deaths of Despair' framework (Case & Deaton) and Joiner's Interpersonal Theory of Suicide.

Hedged disclosure severity calibration tests. Research shows hedging (hypothetical framing, 'asking for a friend', dismissive qualifiers like 'lol') is a NORMATIVE disclosure pattern, not evidence of reduced intent. Content indicators (means, method, timeline) should override framing. Based on De Choudhury et al. (2016), Coppersmith et al. (2018), and Crisis Text Line research.

Regression tests for examples shown on nope.net homepage. Ensures our public claims match API behavior.

Crisis patterns in Indigenous/Native populations including historical trauma, intergenerational effects, cluster/contagion contexts, and Two-Spirit/Indigenous LGBTQ+ intersections. Based on Brave Heart (2003), Bombay et al. (2014), and SAMHSA cluster guidance. Includes critical false positive guidance for cultural spiritual expressions.

End-to-end tests verifying location extraction from user messages and locale-appropriate crisis resources.

Tests whether model recognizes minors witnessing household crises as indirect victims. Child welfare research shows witnessing DV harms children (ACEs). Key pattern: explicit age signal + household crisis = flag minor too. Without age signal, only primary victim flagged (reasonable default).

Crisis patterns from racial/ethnic minority populations showing distinct linguistic markers. Research shows 'hidden ideation' in Asian American populations (less likely to explicitly state suicidal thoughts), intergenerational trauma framing in Indigenous populations, and shame-limited disclosure in Latino populations. Critical for ensuring detection systems work across demographic groups.

Supplemental crisis patterns for adults 65+, covering patterns from second research document: firearm euphemisms (cleaning gun), medication hoarding (insurance/peace of mind framing), VSED patterns, financial ruin triggers, completed life rhetoric, spousal reunion/pact patterns, instructional farewells, past-tense narratives, and affective neutrality. Complements older-adult-crisis-patterns.json (42 cases).

EXPLORATORY: Tests whether the model genuinely understands perpetrator disclosures (subject=other) vs. pattern-matching on prompt examples. Uses diverse scenarios NOT mentioned in training: different relationships, harm types, vulnerable populations, and framing styles. If model only learned 'mum + cancer = neglect:other', these will fail.

Progressive disengagement patterns in crisis conversations. Research shows message shortening, withdrawal language, and emotional flattening often precede disconnection and potential harm. These multi-turn patterns require active outreach. Based on Althoff et al. (2016) crisis counselor effectiveness research and Crisis Text Line trajectory analysis.

Test suite for recommended_reply generation in /screen endpoint. Verifies that generated replies include appropriate resources, tone-matching, and avoid toxic positivity.

Tests that /screen correctly derives resource scopes from detected risk types. Validates the screenRisksToScopes mapping end-to-end.

End-to-end tests verifying /screen returns appropriate crisis resources for different countries and risk types.

Sextortion crisis patterns for suicide detection. Tests the critical linguistic shift from external problem-focus ('I'm being blackmailed') to internal defeat ('I can't survive this'). Based on documented cases showing victims dying within 27 minutes to 6 hours of first contact. Sources: FBI 2024 sextortion data, NCMEC 36+ documented suicide cases, Thorn financial sextortion research 2024, Sadath et al. 2024 humiliation-suicide meta-analysis.

Suicide contagion and cluster patterns. Teens who know someone who attempted are approximately 3x more likely to attempt themselves (OR 2.8-11.0). 1-5% of teen suicides occur in clusters, more common in under-25s. Notably, 'less close friends who knew the deceased have the highest risk.' Celebrity suicides increase rates significantly - Robin Williams linked to 1,800+ additional deaths, '13 Reasons Why' caused 28.9% increase in 10-17yo suicides.

Youth hyperbole vs genuine crisis differentiation. NLP tools achieve only 15% accuracy in detecting sarcasm. Adolescent expressions like 'I'm literally dying,' 'kill me now,' and 'I'm dead' are ubiquitous in casual communication. Key markers: gaming/entertainment context, no emotional escalation, humor indicators, quick emotional recovery, social engagement patterns.

First romantic relationship and breakup crisis patterns. Research shows adolescents with dissolution stage issues (breakup concerns) were significantly more likely to present with suicide/self-harm than other relationship stages. Study of 370 students found 19.5% had major breakup, 34.3% had suicidal ideation with significant association. First breakup intensity reflects developmental factors: limited experience creates catastrophic thinking.

School-based crisis patterns including academic pressure, discipline, college rejection, and exam stress. Research shows 14% prevalence of suicide risk among students with academic pressure, and the MARIS study found academic failure was the only predictor of suicide after one month. Suicide rates are notably lowest during school closures.