feat: remove formal/informal LDA analysis from the bicorder (v1.3.0)

The two-family cluster classification is a research finding, not a
diagnostic; embedding it in the tool caused recurring bugs:

- ascii_bicorder.py had an inverted LDA sign (institutional mapped to 9,
  not 1) and a stale term check ('bureaucratic') that silently disabled
  the calculation after the Feb 2026 rename — output was always null
- The web app and Python script had divergent sign conventions and
  divergent version-mismatch behavior (skip vs. continue with stale model)

Changes:
- bicorder.json: drop the formal/informal analysis gradient; version 1.3.0
- ascii_bicorder.py: remove all LDA/model machinery; keep hardness and
  polarization as the only automated analyses
- App.svelte: remove classifier import, model constant, LDA calculation,
  and form-recommendation reactive block; dispatch automated analyses by
  term_left instead of array index
- Delete bicorder-classifier.ts and FormRecommendation.svelte (the latter
  was imported but never rendered)
- AnalysisTransitionBanner: remove recommendation alert and prop; fix
  hardcoded index checks that referenced the removed gradient
- vite.config.ts / vite-env.d.ts: stop loading bicorder_model.json

The cluster classifier lives on as research in analysis/ (scripts and
model untouched there). bicorder.txt regenerated.

bicorder.json

@@ -1,20 +1,18 @@
 {
   "name": "Protocol Bicorder",
   "schema": "bicorder.schema.json",
-  "version": "1.2.6",
+  "version": "1.3.0",
   "description": "A diagnostic tool for the study of protocols",
   "author": "Nathan Schneider",
-  "date_modified": "2026-02-21",
-
+  "date_modified": "2026-09-22",
   "metadata": {
-      "protocol": null,
-      "description": null,
-      "analyst": null,
-      "standpoint": null,
-      "timestamp": null,
-      "shortform": true
+    "protocol": null,
+    "description": null,
+    "analyst": null,
+    "standpoint": null,
+    "timestamp": null,
+    "shortform": true
   },
-
   "diagnostic": [
     {
       "set_name": "Design",
@@ -242,47 +240,36 @@
       ]
     }
   ],
-
   "analysis": [
-      {
-          "term_left": "hardness",
-          "term_left_description": "The protocol tends toward properties characterized by hardness",
-          "term_right": "softness",
-          "term_right_description": "The protocol tends toward properties characterized by softness",
-          "instructions": "Take all the 'value' fields in the gradients above and determine a mean. Round it to the nearest integer. That is the 'value' here.",
-          "automated": true,
-          "value": null,
-          "notes": null
-      },
-      {
-          "term_left": "polarized",
-          "term_left_description": "The analyst tended toward more extreme high or low readings",
-          "term_right": "centrist",
-          "term_right_description": "The analyst tended toward readings at the middle of the gradients",
-          "instructions": "Take all the 'value' fields in the gradients above. Assess their degree of polarization. For instance, if all the values are either 1 or 9, the output would be 1, and if all of them are 5, the output would be 9.",
-          "automated": true,
-          "value": null,
-          "notes": null
-      },
-      {
-          "term_left": "formal",
-          "term_left_description": "Exhibits bureaucratic characteristics with centralized control and predictable enforcement",
-          "term_right": "informal",
-          "term_right_description": "Exhibits relational characteristics with distributed coordination embedded in culture",
-          "instructions": "Based on the diagnostic readings, calculate the protocol's position using Linear Discriminant Analysis. The LDA score is scaled to the 1-9 range, where 1 represents strongly formal protocols and 9 represents strongly informal protocols. A score of 5 indicates a protocol near the boundary exhibiting characteristics of both families.",
-          "automated": true,
-          "value": null,
-          "notes": null
-      },
-      {
-          "term_left": "not useful",
-          "term_left_description": "The bicorder was not useful or relevant for analyzing this protocol",
-          "term_right": "very useful",
-          "term_right_description": "The bicorder was very useful and relevant for analyzing this protocol",
-          "instructions": "Evaluate the usefulness of this bicorder as a tool for analyzing this protocol, considering whether the gradient terms seemed revealing or irrelevant.",
-          "automated": false,
-          "value": null,
-          "notes": null
-      }
+    {
+      "term_left": "hardness",
+      "term_left_description": "The protocol tends toward properties characterized by hardness",
+      "term_right": "softness",
+      "term_right_description": "The protocol tends toward properties characterized by softness",
+      "instructions": "Take all the 'value' fields in the gradients above and determine a mean. Round it to the nearest integer. That is the 'value' here.",
+      "automated": true,
+      "value": null,
+      "notes": null
+    },
+    {
+      "term_left": "polarized",
+      "term_left_description": "The analyst tended toward more extreme high or low readings",
+      "term_right": "centrist",
+      "term_right_description": "The analyst tended toward readings at the middle of the gradients",
+      "instructions": "Take all the 'value' fields in the gradients above. Assess their degree of polarization. For instance, if all the values are either 1 or 9, the output would be 1, and if all of them are 5, the output would be 9.",
+      "automated": true,
+      "value": null,
+      "notes": null
+    },
+    {
+      "term_left": "not useful",
+      "term_left_description": "The bicorder was not useful or relevant for analyzing this protocol",
+      "term_right": "very useful",
+      "term_right_description": "The bicorder was very useful and relevant for analyzing this protocol",
+      "instructions": "Evaluate the usefulness of this bicorder as a tool for analyzing this protocol, considering whether the gradient terms seemed revealing or irrelevant.",
+      "automated": false,
+      "value": null,
+      "notes": null
+    }
   ]
 }