Analogy Mapping Strength Checker
Audit independently aligned analogy correspondences under caller weights, retaining unknown weight; mapping coverage is not argument soundness.
Description
An analogy depends on independently established correspondences and their selected importance.
An analogy depends on independently established correspondences and their selected importance.1
Weighted evidence coverage records witnessed and unknown shares without proving the analogy’s inference sound.
When to use Analogy Mapping Strength Checker
Use this tool when you need to review the specific lexical, time-budget, or annotation operation described below. Establish the language, clause boundaries, transcription basis, source context, or evidence annotations required by this particular tool.
How to use Analogy Mapping Strength Checker and understand its results
- Establish the language, clause boundaries, transcription basis, source context, or evidence annotations required by this particular tool.
- Enter independentlyDeclaredMappingWeights, independentlyWitnessedMappingFlags, mappingKnownFlags, following the field table and calculation rules below, then run the tool.
- Read result. Inspect the nested fields in the output table below and keep any missing evidence or selected indices visible.
- Correct any input issues and run again. Before using a successful result, review its units, signs, evidence coverage, and stated model or reference assumptions.
| Input field | Meaning | Value type | Requirement |
|---|---|---|---|
| independentlyDeclaredMappingWeights | Independently declared mapping weights | list of number | Required |
| independentlyWitnessedMappingFlags | Independently witnessed mapping flags | list of number | Required |
| mappingKnownFlags | Mapping known flags | list of number | Required |
Use nonempty aligned nonnegative weights, binary witnessed flags, and binary known flags, with positive total weight. Divide known witnessed weight by all weight and unknown weight by all weight. Unknowns stay in the denominator and are not treated as witnessed.
witnessed=Σ(w×flag×known)/Σw; unknown=Σ(w×(1−known))/Σw Read these symbols with the field meanings and branch or reference rules above.
| Output field | Meaning | Value type |
|---|---|---|
| result | Object containing the fields below | object |
| result.witnessedFraction | Known witnessed weight divided by all declared weight | number |
| result.unknownWeightFraction | Unknown weight divided by all declared weight | number |
{
"input": {
"independentlyDeclaredMappingWeights": [
2,
1
],
"independentlyWitnessedMappingFlags": [
1,
0
],
"mappingKnownFlags": [
1,
0
]
},
"output": {
"result": {
"witnessedFraction": 0.6666666666666666,
"unknownWeightFraction": 0.3333333333333333
}
}
}Limitations and assumptions
Clause boundaries, transcriptions, role labels, and contextual judgments are supplied evidence. The result describes this exact lexical or annotation operation, not inferred intent, historical origin, persuasive effect, or argument soundness.
Missing required fields, unknown fields, wrong types, and violated calculation rules return input issues. Numeric values must be finite; nonfinite numeric outputs are rejected. Arrays must be dense, with no missing cells. Numeric lists allow at most 10000 entries, subject to smaller tool-specific bounds above. Extremely large composite outputs are rejected.
Alternative or Complementary methods
For a related task, use Ethos Pathos Logos Balance Checker: Ethos, pathos, and logos name different forms of rhetorical appeal. Normalizing annotated weights shows their supplied proportions without imposing an ideal balance. For a complementary step, use Example Generalization Scope Checker: Observed-case coverage compares known distinct cases with a finite established target scope. That count ratio does not establish random-sample representativeness or justify a universal claim.
References
-
Analogy Mapping Strength Checker — tool.io
Similar or alternative tools
- Ethos Pathos Logos Balance Checker
Ethos, pathos, and logos name different forms of rhetorical appeal. Normalizing annotated weights shows their supplied proportions without imposing an ideal balance.
- Example Generalization Scope Checker
Observed-case coverage compares known distinct cases with a finite established target scope. That count ratio does not establish random-sample representativeness or justify a universal claim.