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.
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@@ -9,11 +9,6 @@ const bicorderData = JSON.parse(
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fs.readFileSync(path.resolve(__dirname, '../bicorder.json'), 'utf-8')
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)
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// Read bicorder_model.json at build time
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const bicorderModel = JSON.parse(
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fs.readFileSync(path.resolve(__dirname, '../analysis/bicorder_model.json'), 'utf-8')
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)
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export default defineConfig({
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base: './',
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plugins: [
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@@ -61,7 +56,6 @@ export default defineConfig({
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})
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],
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define: {
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'__BICORDER_DATA__': JSON.stringify(bicorderData),
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'__BICORDER_MODEL__': JSON.stringify(bicorderModel)
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'__BICORDER_DATA__': JSON.stringify(bicorderData)
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}
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})
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