Moffitt Typology Life Course Classifier

Restricted Moffitt research-typology evidence record, not assign a person a fixed developmental diagnosis or future-risk category. Independently established feature columns: childhood-onset evidence independently established, continued adult pattern independently established, adolescence-limited observation evidence established. Unknown evidence and overlapping candidates retained; not semantic parsing, identity, causation, diagnosis, lawfulness, authenticity or safety determination.

Description

Moffitt's developmental typology distinguishes research patterns across life stages.

Moffitt's developmental typology distinguishes research patterns across life stages.1

Evidence comparison does not assign a fixed identity or forecast an individual's future behavior. Use this tool to compare independently annotated known features with fixed candidate rules.

When to use Moffitt Typology Life Course Classifier

Use this tool to compare independently annotated known features with fixed candidate rules. Establish the jurisdiction or research scope, observation and event definitions, reference date, matched period and denominator basis.

How to use Moffitt Typology Life Course Classifier and understand its results

  1. Establish the jurisdiction or research scope, observation and event definitions, reference date, matched period and denominator basis.
  2. Enter observedFeatureFlags, featureKnownFlags, using the field meanings and rules below, then run the tool.
  3. Read result.compatibleClasses, result.witnessedClasses, result.unknownFeatureIndices. Interpret each field using the units, signs and evidence rules below.
  4. If input validation fails, correct the reported field and run again. Before applying a successful result, check the stated reference scope, units, assumptions and any retained unknown evidence.
Input fieldMeaningValue typeRequirement
observedFeatureFlagsObserved feature flags; binary 0/1 in the order documented belowlist of numberRequired
featureKnownFlagsFeature known flags; 1 means known and 0 means unknown; keep the same item orderlist of numberRequired

Enter binary observed and known flags in the exact column order below. A known mismatch with a constrained rule excludes a candidate; unknown constrained evidence leaves it compatible but prevents full witnessing. A −1 rule ignores that column, including unknown evidence there. Return all compatible and witnessed candidates and zero-based unknown indices, preserving overlap. The comparison records supplied evidence without inferring facts, identity, diagnosis or legal status.

Zero-based columnObserved feature
0Childhood-onset evidence independently established
1Continued adult pattern independently established
2Adolescence-limited observation evidence established
CandidateChildhood-onset evidence independently establishedContinued adult pattern independently establishedAdolescence-limited observation evidence established
life-course-persistent-evidence-candidateKnown present (1)Known present (1)Ignored
adolescence-limited-evidence-candidateKnown absent (0)Known absent (0)Known present (1)
compatible_c=no known constrained mismatch; witnessed_c=all constrained features known and matching; ignored columns impose no condition

Apply the field units and exact ordering, boundary and evidence rules above.

Output fieldMeaningValue type
resultStructured result containing the calculation or selected reference fields belowobject
result.compatibleClassesAll candidates consistent with known features; may include candidates with missing evidencelist of string
result.witnessedClassesCandidates with all required feature constraints actually known and satisfiedlist of string
result.unknownFeatureIndicesZero-based positions of unknown featureslist of values
json
{
  "input": {
    "observedFeatureFlags": [
      1,
      1,
      1
    ],
    "featureKnownFlags": [
      1,
      1,
      1
    ]
  },
  "output": {
    "result": {
      "compatibleClasses": [
        "life-course-persistent-evidence-candidate"
      ],
      "witnessedClasses": [
        "life-course-persistent-evidence-candidate"
      ],
      "unknownFeatureIndices": []
    }
  }
}

Limitations and assumptions

Feature and criterion flags are independent annotations. Unknown evidence remains unknown; matching rules do not establish a diagnosis, cause, prediction or approval.

Every listed input requires an explicit value. Unexpected fields, incorrect value types, nonfinite numbers and sparse numeric arrays fail validation; tool-specific bounds and alignment rules apply as described above. Extremely large inputs or outputs can also be rejected. An input error is distinct from a successful calculation that reports a false comparison or retains unknown evidence.

Alternative or Complementary methods

Use Specialization Versatility Index Converter to examine a related aspect: Offense-type concentration summarizes how recorded counts are distributed among categories.

Use Criminal Career Length Years Average Lookup where its separate inputs and scope apply: Criminal-career duration studies depend on observation windows and outcome definitions.

References

  1. Moffitt Typology Life Course Classifier — tool.io

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