Menippean Satura Mixed Genre Classifier

Audit independently established evidence for Menippean Satura Mixed Genre Classifier. Feature columns, independently annotated in order: mixed prose and verse, satiric discourse, independent Menippean intertextual context. Unknown evidence and compatible classes retained; not automated semantic, historical, identity, legal or safety determination.

Description

Menippean classification depends on independently identified literary features.

Menippean classification depends on independently identified literary features.^[1]

A binary feature audit cannot infer genre, voice or semantic intent from a text on its own. Use Menippean Satura Mixed Genre Classifier to compare independently annotated features with the fixed rules.

When to use Menippean Satura Mixed Genre Classifier

Use Menippean Satura Mixed Genre Classifier to compare independently annotated features with the fixed rules. Annotate the ordered features below independently; use separate binary arrays for observed presence and whether each feature is known.

How to use Menippean Satura Mixed Genre Classifier and understand its results

Annotate the ordered features below independently; use separate binary arrays for observed presence and whether each feature is known.
Enter Observed feature flags, Feature known flags using the field table and validation rules below, then run the tool.
Read Compatible Classes, Witnessed Classes, Unknown Feature Indices in the Result object; interpret the units, signs, ordering and unknown-value placeholders described below.
Correct reported input errors and rerun. Apply successful results according to their specific meanings and check the assumptions before using them in a decision.

Input field	Meaning	Value type	Requirement
observedFeatureFlags	Observed feature flags	array of number	Required; constraints below
featureKnownFlags	Feature known flags	array of number	Required; constraints below

Enter aligned binary observed-feature and known-feature arrays in the exact column order below. The array length must match the fixed rule width. In the rule table, 1 requires presence, 0 requires absence and −1 ignores that column. A known observation contradicting a required value excludes a class; an unknown observation leaves it compatible. A witnessed class requires all nonignored columns to be known and equal to their required values. Unknown-feature indices are zero based and lists preserve rule order. The tool does not annotate grammar, interpret a text or independently verify the historical evidence.

compatible = no known rule contradiction; witnessed = every nonignored rule known and matched

Use the field order, units and branch conditions described above.

Zero-based feature index	Independently annotated feature
0	mixed prose and verse
1	satiric discourse
2	independent Menippean intertextual context

Fixed class	Feature 0	Feature 1	Feature 2
Menippean-candidate	1	1	1

Output field	Meaning	Value type
result	Object containing the named result fields below.	object
result.compatibleClasses	Fixed-rule classes with no known contradiction; compatibility can depend on unknown features.	array of string
result.witnessedClasses	Fixed-rule classes whose nonignored requirements are all known and matched.	array of string
result.unknownFeatureIndices	Zero-based indices marked unknown, irrespective of their observed-value placeholders.	array

json

{
  "input": {
    "observedFeatureFlags": [
      1,
      1,
      1
    ],
    "featureKnownFlags": [
      1,
      1,
      1
    ]
  },
  "output": {
    "result": {
      "compatibleClasses": [
        "Menippean-candidate"
      ],
      "witnessedClasses": [
        "Menippean-candidate"
      ],
      "unknownFeatureIndices": []
    }
  }
}

Limitations and assumptions

A binary feature audit cannot infer genre, voice or semantic intent from a text on its own. Apply the exact scope and assumptions explained above.

All listed fields require explicit values. Unexpected fields, incorrect types, nonfinite numbers and sparse arrays fail validation. Domain-specific bounds, alignments and supported tokens are explained above; extremely large inputs or outputs can also be rejected. Input errors differ from successful false results, empty match lists and unknown-evidence placeholders.

Alternative or Complementary methods

Use Muse Invocation Opening Locator for a related task: A Muse invocation must be identified within a text and edition before its position is counted.

Use Juvenal Satire Six Against Women Famous Lines Lookup for a related task: Satire uses a literary voice and caricature.

References

Menippean Satura Mixed Genre Classifier — tool.io

Similar or alternative tools

Muse Invocation Opening Locator
A Muse invocation must be identified within a text and edition before its position is counted.
Juvenal Satire Six Against Women Famous Lines Lookup
Satire uses a literary voice and caricature.