Sentiment Resolution (SR)
How well the Directorate can tell idle complaint from a forming movement. The earlier the read, the cheaper the response.
Formula
Thresholds & Bands
| Band | Range | State |
|---|---|---|
| Sharp | ≥ 85 | ok |
| Fuzzy | 65-85 | warn |
| Blind | < 65 | crit |
Why This Metric Matters
Sentiment Resolution measures the Directorate's ability to distinguish between harmless individual complaints and the early-stage formation of organized resistance. This classification fidelity is the foundation of the pre-emptive response doctrine: accurate reads enable light-touch interventions (narrative adjustment, targeted dosing), while misclassification forces the Directorate into costly, visible suppression actions. Every point of resolution lost translates to delayed response windows, higher containment costs, and increased exposure risk. The metric is operationally upstream of nearly every Influence Operations and Compliance decision.
Threshold Justification
The "Sharp" threshold at 85 reflects the minimum confidence level at which PANACEA's automated triage recommendations can be acted upon without human review, enabling real-time response cycles. Below 65, classification noise exceeds the Directorate's tolerance for false-positive intervention, requiring manual analyst review of all flagged signals and effectively disabling automated response protocols.
Historical Context
SR was initially tracked as an internal PANACEA diagnostic before being elevated to a formal PANOPTICON metric in 2022 after the Sector-7 misclassification incident, where a forming movement was categorized as ambient noise for eleven days. The introduction of Halo-sourced affective telemetry in 2024 improved baseline resolution by approximately 12 points, and the metric has stabilized in the 82-88 range since.
Collection Method
PANACEA's Sentiment Array ingests raw signal from multiple channels: VITALNET environmental microphones, Halo implant affective telemetry, communications metadata from the Synaptic Data Fabric, and open-source social feeds. The resolution index is computed as a rolling confidence score across PANACEA's intent-classification model, benchmarked against retrospective ground-truth labels applied by Influence Operations analysts.
Known Failure Modes
Encrypted or offline communication channels that bypass Synaptic Data Fabric intercept create blind spots that depress the resolution score without indicating their cause. Coordinated sentiment spoofing — where organized groups deliberately generate misleading affective signals through Halo biofeedback manipulation — can invert classification confidence. During high-volume social events (elections, festivals), ambient noise spikes can temporarily saturate the Sentiment Array and reduce resolution by 10-15 points.