Ethos Pathos Logos Balance Checker

Normalize independently annotated appeal weights; no universal ideal balance or automatic intent detection.

Description

Ethos, pathos, and logos name different forms of rhetorical appeal.

Ethos, pathos, and logos name different forms of rhetorical appeal.1

Normalizing annotated weights shows their supplied proportions without imposing an ideal balance.

When to use Ethos Pathos Logos Balance 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 Ethos Pathos Logos Balance Checker and understand its results

  1. Establish the language, clause boundaries, transcription basis, source context, or evidence annotations required by this particular tool.
  2. Enter independentlyAnnotatedEthosPathosLogosWeights, following the field table and calculation rules below, then run the tool.
  3. Read result. Inspect the nested fields in the output table below and keep any missing evidence or selected indices visible.
  4. 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 fieldMeaningValue typeRequirement
independentlyAnnotatedEthosPathosLogosWeightsIndependently annotated ethos pathos logos weightslist of numberRequired

Enter exactly three nonnegative finite weights in ethos, pathos, logos order. Require their sum positive and divide each by the total. Zero component weights are accepted, but three zeroes fail.

share_i=weight_i/Σweights

Read these symbols with the field meanings and branch or reference rules above.

Output fieldMeaningValue type
resultObject containing the fields belowobject
result.normalizedAppealSharesNormalized Appeal Shareslist
json
{
  "input": {
    "independentlyAnnotatedEthosPathosLogosWeights": [
      2,
      1,
      1
    ]
  },
  "output": {
    "result": {
      "normalizedAppealShares": [
        0.5,
        0.25,
        0.25
      ]
    }
  }
}

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 Telos Audience Purpose Alignment Checker: Purpose-audience alignment concerns whether a declared purpose fits independently established audience goals. The checker keeps stated purpose, audience evidence, and witnessed fit as separate annotations. 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

  1. Ethos Pathos Logos Balance Checker — tool.io

Similar or alternative tools

  • Telos Audience Purpose Alignment Checker

    Purpose-audience alignment concerns whether a declared purpose fits independently established audience goals. The checker keeps stated purpose, audience evidence, and witnessed fit as separate annotations.

  • 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.

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