Paradeigma Example Inductive Builder
Build an explicitly qualified example-to-generalization outline from independently supplied distinct cases; no statistical representativeness or deductive proof.
Description
An example-based generalization moves from observed cases toward a broader proposed claim.
An example-based generalization moves from observed cases toward a broader proposed claim.1
A qualified outline can expose that inference while leaving representativeness and warrant strength unresolved.
When to use Paradeigma Example Inductive Builder
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 Paradeigma Example Inductive Builder and understand its results
- Establish the language, clause boundaries, transcription basis, source context, or evidence annotations required by this particular tool.
- Enter callerObservedExamples, callerProposedGeneralization, 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 |
|---|---|---|---|
| callerObservedExamples | Caller observed examples | list of string | Required |
| callerProposedGeneralization | Caller proposed generalization | string | Required |
Supply a nonempty unique list of nonblank observed-case descriptions and a nonblank proposed generalization. Return the example count and claim unchanged, with unverifiedInference always true. No generalization text is generated or proved.
exampleCount=examples.length; unverifiedInference=true 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.exampleCount | Example Count | number |
| result.proposedGeneralization | Proposed Generalization | string |
| result.unverifiedInference | Unverified Inference | boolean |
{
"input": {
"callerObservedExamples": [
"case-a",
"case-b"
],
"callerProposedGeneralization": "These cases exhibit the proposed pattern"
},
"output": {
"result": {
"exampleCount": 2,
"proposedGeneralization": "These cases exhibit the proposed pattern",
"unverifiedInference": true
}
}
}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. Arrays must be dense, with no missing cells. Ordinary string lists allow at most 128 strings of at most 128 UTF-16 units each. Extremely large composite outputs are rejected.
Alternative or Complementary methods
For a related task, 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. For a complementary step, use Analogy Mapping Strength Checker: An analogy depends on independently established correspondences and their selected importance. Weighted evidence coverage records witnessed and unknown shares without proving the analogy’s inference sound.
References
-
Paradeigma Example Inductive Builder — tool.io
Similar or alternative tools
- 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.
- Analogy Mapping Strength Checker
An analogy depends on independently established correspondences and their selected importance. Weighted evidence coverage records witnessed and unknown shares without proving the analogy’s inference sound.