Olrik Epic Laws Conformity Checklist

Audit a declared four-criterion subset of Olriks epic laws, not every law or universal conformity. Caller annotates original narrative and chosen edition. Independently established criterion columns: opening and ending bounded, independently annotated repetition, independently annotated contrast, independently annotated single-strand action. No certification or invented missing evidence.

Description

Olrik-style epic-law analysis uses independently annotated narrative features under a chosen scholarly framework.

Olrik-style epic-law analysis uses independently annotated narrative features under a chosen scholarly framework.^[1]

A checklist records evidence for selected features without establishing a universal law or automatically interpreting a tale. Use this tool to separate witnessed, known missing and unknown criterion evidence.

When to use Olrik Epic Laws Conformity Checklist

Use this tool to separate witnessed, known missing and unknown criterion evidence. Identify the community, narrative version, source edition and interpretation context; prepare any annotations independently.

How to use Olrik Epic Laws Conformity Checklist and understand its results

Identify the community, narrative version, source edition and interpretation context; prepare any annotations independently.
Enter observedCriterionFlags, criterionKnownFlags, using the field meanings and rules below, then run the tool.
Read result.witnessedCriteria, result.knownMissingCriteria, result.unknownCriteria. Interpret the fields using their units, signs and evidence conventions below.
If input validation fails, correct the reported field and run again. Before applying the result, check reference scope, model assumptions and any missing evidence or placeholder values.

Input field	Meaning	Value type	Requirement
observedCriterionFlags	Observed criterion flags; binary 0/1 under the definitions below	list of number	Required
criterionKnownFlags	Criterion known flags; binary 1=known, 0=unknown, in the order described below	list of number	Required

Enter exactly 4 binary observation flags and binary known flags in the criterion order below. Return labels as witnessed when both flags are 1, known missing when known=1 and observed=0, and unknown whenever known=0 regardless of the observation placeholder. The checker does not inspect a narrative or site and does not turn these separate labels into an overall approval.

Zero-based column	Criterion
0	opening and ending bounded
1	independently annotated repetition
2	independently annotated contrast
3	independently annotated single-strand action

witnessed={label_i:known_i=1 and observed_i=1}; missing={label_i:known_i=1 and observed_i=0}; unknown={label_i:known_i=0}

Use the exact units, boundary rules, ordering and missing-evidence conventions above.

Output field	Meaning	Value type
result	Structured calculation or selected reference, with fields listed below	object
result.witnessedCriteria	Labels marked both known and observed present	list of string
result.knownMissingCriteria	Labels known but observed absent	list of values
result.unknownCriteria	Labels whose evidence is marked unknown	list of values

json

{
  "input": {
    "observedCriterionFlags": [
      1,
      1,
      1,
      1
    ],
    "criterionKnownFlags": [
      1,
      1,
      1,
      1
    ]
  },
  "output": {
    "result": {
      "witnessedCriteria": [
        "opening and ending bounded",
        "independently annotated repetition",
        "independently annotated contrast",
        "independently annotated single-strand action"
      ],
      "knownMissingCriteria": [],
      "unknownCriteria": []
    }
  }
}

Limitations and assumptions

Features and criteria are independent annotations. Compatible candidates and retained unknown evidence do not establish an identity, interpretation, overall pass or permission.

All listed fields require explicit values. Unexpected fields, incorrect types, nonfinite numbers and sparse evidence arrays fail validation; the specific bounds and alignment requirements are stated above. Extremely large inputs or outputs can also be rejected. An input error is distinct from a successful result reporting false, no matches or missing evidence.

Alternative or Complementary methods

Use Propp 31 Functions Sequence Checker for this related task: Propp's numbered functions describe an ordered analytical scheme for an adopted narrative corpus.

Use Rule of Three Triad Repetition Checker when its separate inputs and assumptions fit the question: Repeated narrative units can produce a three-part pattern under an explicit annotation scheme.

References

Olrik Epic Laws Conformity Checklist — tool.io

Similar or alternative tools

Propp 31 Functions Sequence Checker
Propp's numbered functions describe an ordered analytical scheme for an adopted narrative corpus.
Rule of Three Triad Repetition Checker
Repeated narrative units can produce a three-part pattern under an explicit annotation scheme.