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run-spanglish-primitives

station__microgram__run-spanglish-primitives external (needs EXECUTION_BACKEND_URL) microgram pv-core Constructa Configa

Classifies the 6 Spanglish primitives — boundary phenomena that exist ONLY at the code-switch interface between Spanish and English. These are not Spanish primitives or English primitives. They are interference-pattern primitives that emerge when two linguistic systems collide. The 6 Spanglish Primitives: ∂_switch — The boundary itself. WHERE the language changes. The switch point carries information that neither language alone encodes. μ_frame — Frame-content split. WHICH language provides grammar (frame) vs vocabulary (content). "Está feeling dizzy" = Spanish frame, English content. The split IS the mapping. →_direction — Switch direction. WHY the speaker crossed. es→en for symptoms means English lacks the nuance. en→es means Spanish temporal precision was invoked. Direction encodes intent. κ_boost — Confidence differential. HOW MUCH stronger is dual-encoding vs single? The effort of switching amplifies the signal. +20 estar, +15 tener, +10 sentirse, 0 ser, 0 pure-English. ν_rate — Switch frequency. HOW OFTEN boundaries appear in the text. High = fully bilingual. Low = dominant language with borrowings. Rate determines transducer bandwidth. ∅_null — The null switch. WHERE a switch COULD have happened but DIDN'T. A bilingual speaker who says "is dizzy" when they could have said "está dizzy" made an unconscious classification: the symptom didn't warrant temporal precision. Absence = signal.

Taxonomy

Linnaean classification joined from the algovigilance taxonomy index via the parent config's rank.

RankValue
domainSubstrata
kingdomConstructa
phylumConfiga
classstation-config
ordermicrogram
familymcp-tool-config

Characteristics:

Input schema

Example call 

POST /api/mcp
Content-Type: application/json

{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "station__microgram__run-spanglish-primitives",
    "arguments": {
      "text_fragment": "",
      "speaker_bilingual": false
    }
  }
}

How to invoke from a client

From any MCP-aware client, add https://algovigilance.com/api/mcp as an MCP server, then call this tool by name. From a raw HTTP client, send the JSON-RPC body above to /api/mcp.

Agent-friendly formats

Working inside an AI assistant? Use the Copy for AI button at the top of this page (or view the raw Markdown) to paste a clean, token-budgeted version of this tool's contract into your conversation.

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