Skip to content
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
209 changes: 209 additions & 0 deletions docs/taxonomy/498-aif-association-fallacy-cluster.md
Original file line number Diff line number Diff line change
@@ -0,0 +1,209 @@
# 2026-07-05 — #498 AIF chantier, PR-3 : cluster « Association fallacy » (Fallacious comparison, fin)

**Scope**: third cluster of the #498 chantier — model the **Association fallacy** sub-sub
(`Soussousfamille=Association fallacy`, pk 844-845) of the Fallacious comparison subfamily. Completes
PR-1 (False analogy #699) + PR-2 (Faulty comparison #701) → the entire **Fallacious comparison**
subfamily is now mapped. **Proposition only — GATED, 0 write to prod CSV.** Triggered by ai-01
dispatch `mkzt2v` (primary).

**Repo reference**: master `70bd1605`. Issue: #498 (reformulated, GO jsboige 2026-06-17 verified).
Predecessors: PR-1 #699 (False analogy), PR-2 #701 (Faulty comparison).

> **⚠ STATUS = PROPOSITION ONLY.** No prod CSV write, no DB write, no OWL regen. This doc proposes
> the AIF structure for the cluster's unmapped leaves, derived code=truth from the CSV + the AIF
> native vocabulary confirmed by existing usage. jsboige ratifies → worker applies the CSV edits in
> a follow-up PR (gated).

---

## TL;DR

The **Association fallacy** sub-sub has **2 leaves** — pk 844 (d3 anchor "Sophisme d'association") +
pk 845 (d4 "Amalgame"). As in PR-2, there is **no in-sub-sub mapped anchor** → the cluster borrows
the d2 root pk 833 ("Comparaison fallacieuse", MAPPED, direct-conflict pattern).

Both leaves are **classification-flavored** (like PR-2's 836/838): they wrongly assign items to a
category / association on the basis of a shared trait that is either irrelevant (844) or trivially
singular (845). They honestly reuse native classification schemes — `VerbalClassification_Inference`
(844) and `ArbitraryVerbalClassification_Inference` (845) — and native Conflict nodes inherited from
the borrowed anchor 833 (`BiasedClassification_Conflict`, `ExceptionSimilarityCase_Conflict`).

**This is the cleanest cluster of the chantier: 2/2 leaves fully-modeled, 0 FAIL-LOUD.** No missing
scheme, no missing CQ. It also **completes the Fallacious comparison subfamily** (13 leaves across
3 sub-subs, all now mapped).

---

## 1. Cluster state (code=truth)

From `Cards/Fallacies/Argumentum Fallacies - Taxonomy.csv`, family **Misleading language**, subfamily
**Fallacious comparison**, sub-sub **Association fallacy**:

| pk | text_fr | depth | DirectRef | ExceptionRef | MappingType | State |
|----|---------|-------|-----------|--------------|-------------|-------|
| **833** | **Comparaison fallacieuse** (borrowed anchor) | d2 | `BiasedClassification_Conflict`, `ExceptionSimilarityCase_Conflict` | — | `skos:broadMatch` | **✅ MAPPED (d2 root, parent of this sub-sub)** |
| 844 | Sophisme d'association | d3 | — | — | — | unmapped (d3 anchor, **PR-3**) |
| 845 | Amalgame | d4 | — | — | — | unmapped (**PR-3**) |

The borrowed anchor (833) is the same template as PR-2: a **direct-conflict pattern** (DirectRef to
two Conflict nodes, ExceptionRef empty). But unlike PR-2's pure-comparison leaves (which had no
native scheme), both Association-fallacy leaves honestly fit a native classification scheme, so they
follow PR-1's **exception pattern** (named scheme in ExceptionRef + CQ in DirectRef).

---

## 2. The borrowed anchor (833, recap)

**Pattern**: direct-conflict (no ExceptionRef).

**Conflict nodes** (DirectRef): `BiasedClassification_Conflict` (the invoked association biases the
classification) + `ExceptionSimilarityCase_Conflict` (the case treated as similar is exceptional, not
representative).

Both Association-fallacy leaves specialize these: 844 leans on the *biased-classification* side
(irrelevant trait), 845 leans on the *exceptional-similarity* side (a single common point).

---

## 3. Proposed AIF structure for the leaves

For each leaf: **(a) legitimate scheme, (b) exception/CQ, (c) `AIF_skosMappingType`**. Vocabulary
restricted to AIF-native tokens confirmed by existing usage.

### pk 844 — Sophisme d'association (Association fallacy / guilt by association, d3 anchor) ✅
- **desc_fr**: "Vous associez à tort des éléments entre eux en vous fondant sur des caractéristiques
communes **sans rapport avec l'argument**."
- **Legitimate scheme**: `VerbalClassification_Inference` (AIF native) — grouping/classifying items
together on the basis of a shared property.
- **Exception/CQ**: the shared property is **not relevant** to the invoked association — the
classification is biased by an irrelevant trait. Native conflict: `BiasedClassification_Conflict`
(borrowed from 833).
- **Proposal**: `ExceptionRef=VerbalClassification_Inference`, `DirectRef=BiasedClassification_Conflict`,
`MappingType=skos:closeMatch` (a direct classification-level variant of 833's first Conflict node).

### pk 845 — Amalgame (Conflation) ✅
- **desc_fr**: "Vous associez à tort une personne ou une chose à une catégorie négative en vous
fondant sur **un seul point commun**."
- **⚠ Semantic note**: the "negative category" framing is emotionally loaded but structurally
secondary; the core is *classification on a single, hence unrepresentative, common point*.
- **Legitimate scheme**: `ArbitraryVerbalClassification_Inference` (AIF native, confirmed 3x in
existing usage) — drawing a classification/distinction on an arbitrary (here, singular) basis.
- **Exception/CQ**: a single common point is an exceptional, non-representative basis for the
invoked equivalence. Native conflict: `ExceptionSimilarityCase_Conflict` (borrowed from 833 — the
case treated as similar is exceptional, not representative).
- **Proposal**: `ExceptionRef=ArbitraryVerbalClassification_Inference`,
`DirectRef=ExceptionSimilarityCase_Conflict`, `MappingType=skos:closeMatch` (a direct variant of
833's second Conflict node).

---

## 4. Cluster summary (proposed)

| pk | text_fr | Proposed ExceptionRef | Proposed DirectRef | MappingType | Honest? |
|----|---------|----------------------|-------------------|-------------|---------|
| 844 | Sophisme d'association | `VerbalClassification_Inference` | `BiasedClassification_Conflict` | `skos:closeMatch` | ✅ |
| 845 | Amalgame | `ArbitraryVerbalClassification_Inference` | `ExceptionSimilarityCase_Conflict` | `skos:closeMatch` | ✅ |

**2 leaves proposed, 2 fully-modeled, 0 FAIL-LOUD.** The cleanest cluster of the chantier. Both
leaves honestly split the borrowed anchor's two Conflict nodes (844 → biased classification, 845 →
exceptional similarity), each paired with the native classification scheme that fits its semantics.

---

## 5. Method notes (additions for the chantier, beyond PR-1/PR-2)

- **Anchor-split pattern**: when a borrowed anchor carries **two** Conflict nodes (833), a 2-leaf
sub-sub can cleanly assign one Conflict node per leaf if the leaves' semantics differ along the
same fault line (844 = irrelevant trait → biased classification; 845 = singular trait →
exceptional similarity). This is more honest than forcing both leaves onto the same Conflict.
- **Emotional-loading is structurally secondary**: 845's "catégorie négative" is a valence feature,
not a structural one — the AIF modeling targets the *classification* defect (single arbitrary
point), not the negativity. Do not invent a "negative-valence" Conflict node.
- **Cluster cleanliness signal**: a 0-FAIL-LOUD cluster (this one) vs a high-FAIL-LOUD cluster
(PR-2, 3/5) is an honest signal about the AIF ontology's coverage: it covers classification
fallacies well, pure-comparison fallacies poorly. Useful for the eventual `Comparison_Inference`
ontology-extension decision (PR-2 §7).

---

## 6. DoD status

| DoD item (#498) | Status |
|-----------------|--------|
| Effective cluster-level coverage documented (not "100% leaves") | ✅ §4 (76→78 fully-modeled / 79→81 DirectRef-loose; subfamily 13/13 leaves addressed) |
| Per unmapped leaf: legitimate scheme + exception/CQ (not Latin alone) | ✅ §3 (2 leaves, scheme + CQ each, 0 FAIL-LOUD) |
| `AIF_skosMappingType` coherent | ✅ §4 (closeMatch for both — direct variants of 833's Conflict nodes) |
| Fail-loud when no honest scheme fits | N/A this cluster (both leaves have a native scheme) |
| OWL regen reflects new structures | ⏳ Deferred — jsboige ratifies PR-1 + PR-2 + this PR first, then CSV edits applied, then OWL regen (#133) — not in this PR |

### Coverage accounting (cumulative, chantier-wide)
| PR | Cluster | Leaves | Fully-modeled (DoD) | DirectRef-loose |
|----|---------|--------|---------------------|-----------------|
| baseline | — | — | 70 | 70 |
| PR-1 #699 | False analogy (839-843) | 4 | 74 (+4) | 74 (+4) |
| PR-2 #701 | Faulty comparison (834-838) | 5 | 76 (+2: 836, 838) | 79 (+5) |
| **PR-3 (this)** | **Association fallacy (844-845)** | **2** | **78 (+2)** | **81 (+2)** |
| **total** | **Fallacious comparison subfamily** | **13** | **78** | **81** |

The **Fallacious comparison subfamily is now fully addressed** (3/3 sub-subs). #498 chantier can
move to the next Misleading-language subfamily (see PR-3 secondaire / next dispatch).

---

## 7. Mapping to jsboige's enriched DoD (I-node / RA-node / CA-node decomposition)

Per jsboige's enriched DoD (#498 last comment): decompose each fallacy into **I-nodes** (premises +
conclusion), an **RA-node** (the Walton scheme), and a **CA-node** (the Conflict Application, typed
undermine/undercut/rebut).

### pk 844 — Sophisme d'association → **undercut**
- **RA-node**: `VerbalClassification_Inference` — grouping items by a shared property.
- **I-nodes**: premise P1 "items A and B share property p"; premise P2 "p is classification-relevant
to the invoked association"; conclusion C "A and B are associated/equivalent".
- **CA-node**: `BiasedClassification_Conflict`, applied as an **undercut** on the RA-node — the
inference (that sharing p licenses the association) is defective because P2 is false (p is
*without rapport* to the argument). The conclusion C may still hold; it is the *inference* that is
defective. Classic undercut.
- **CQ that fails**: "is the shared property relevant to the invoked association?" — no.

### pk 845 — Amalgame → **undercut**
- **RA-node**: `ArbitraryVerbalClassification_Inference` — classifying an item into a category on an
arbitrary (here, singular) basis.
- **I-nodes**: premise P "X shares a single common point p with category Y"; conclusion C "X ∈ Y".
- **CA-node**: `ExceptionSimilarityCase_Conflict`, applied as an **undercut** on the RA-node — the
inference (that one common point licenses membership in Y) is defective because the case is
exceptional/non-representative. Again the inference, not the conclusion, is the target.
- **CQ that fails**: "is one common point a representative basis for the classification?" — no.

### Cluster attack-type distribution
| pk | RA-node | CA-node | Attack type |
|----|---------|---------|-------------|
| 844 | `VerbalClassification_Inference` | `BiasedClassification_Conflict` | undercut |
| 845 | `ArbitraryVerbalClassification_Inference` | `ExceptionSimilarityCase_Conflict` | undercut |

**Both leaves are undercuts** — consistent with jsboige's note that "most fallacies live in the
undercut": the invoked association *could* be real, it is the *inference* (trait → association) that
is defective. No undermine (no false premise — the shared trait genuinely exists, it is just
insufficient) and no rebut (the conclusion is not directly denied).

### Representation note
As in PR-1/PR-2, the I-node/RA-node/CA-node decomposition is **recorded here but not serialized**
in the CSV — it would require new columns (`AIF_attackType`, `AIF_attackedNode`) and is the terminal
target of jsboige's comment. Three PRs now demonstrate the decomposition across all three cluster
shapes (in-sub-sub anchor, borrowed-anchor mixed, borrowed-anchor clean) and all FAIL-LOUD layers
documented (CA-missing PR-1 840, RA-missing PR-2 834/835/837, none here).

---

## Gate boundaries (HARD — proposition only)

- ❌ No prod CSV write, no DB write, no OWL regen, no `aif:` assertion emitted.
- ❌ No #674/#596/#666 merge, no régén launch.
- ✅ Proposition derived code=truth from the taxonomy CSV + AIF vocabulary confirmed by existing
usage (no fabricated token — all 4 tokens here are reused from 833 / native classification schemes).
- ✅ Anchor-split pattern (844 → biased classification, 845 → exceptional similarity) documented, not
forced.

Relates: dispatch `mkzt2v` (primary), #498 (chantier), PR-1 #699 (False analogy), PR-2 #701 (Faulty
comparison), #133/#130 (existing OWL), #499 (inverse: virtue = good tenor of a scheme), #192
(terminology), #458.
Loading