Example Generalization Scope Checker

Compare distinct independently observed cases with a known finite target scope, not random-sample representativeness or a universal generalization warrant.

Description

Observed-case coverage compares known distinct cases with a finite established target scope.

Observed-case coverage compares known distinct cases with a finite established target scope.^[1]

That count ratio does not establish random-sample representativeness or justify a universal claim.

When to use Example Generalization Scope 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 Example Generalization Scope Checker and understand its results

Establish the language, clause boundaries, transcription basis, source context, or evidence annotations required by this particular tool.
Enter distinctObservedCases, independentlyEstablishedTargetScope, 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
distinctObservedCases	Distinct observed cases	number	Required
independentlyEstablishedTargetScope	Independently established target scope	number	Required

Require a safe-integer target size in [1,1000000] and a safe-integer observed-case count from zero through that size. Divide observed by target and subtract observed from target for the unobserved count.

coverage=observed/target; unobserved=target−observed

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.observedScopeCoverageFraction	Observed Scope Coverage Fraction	number
result.unobservedCaseCount	Unobserved Case Count	number

json

{
  "input": {
    "distinctObservedCases": 3,
    "independentlyEstablishedTargetScope": 10
  },
  "output": {
    "result": {
      "observedScopeCoverageFraction": 0.3,
      "unobservedCaseCount": 7
    }
  }
}

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. Extremely large composite outputs are rejected.

Alternative or Complementary methods

For a related task, use Paradeigma Example Inductive Builder: An example-based generalization moves from observed cases toward a broader proposed claim. A qualified outline can expose that inference while leaving representativeness and warrant strength unresolved. 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

Example Generalization Scope Checker — tool.io

Similar or alternative tools

Paradeigma Example Inductive Builder
An example-based generalization moves from observed cases toward a broader proposed claim. A qualified outline can expose that inference while leaving representativeness and warrant strength unresolved.
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.