Attachment Injury Checker

Attachment-injury reported-evidence inventory only, unknown evidence retained; not diagnose partner behavior or infer causality. Actual independently witnessed criterion columns: reported trust breach evidence, reported ongoing attachment-related distress evidence, qualified consent-based professional assessment evidence. Unknowns retained; not readiness, authenticity, legality, diagnosis or safety certification.

Description

An attachment-injury review considers reported trust breach, distress and qualified assessment evidence.

An attachment-injury review considers reported trust breach, distress and qualified assessment evidence.1

An evidence inventory differs from assigning an injury diagnosis. Use this tool to record known present, known missing and unknown checklist evidence.

When to use Attachment Injury Checker

Use this tool to record known present, known missing and unknown checklist evidence. Establish the planning scope, matching instrument or reference, observation definitions and currency or time basis.

How to use Attachment Injury Checker and understand its results

  1. Establish the planning scope, matching instrument or reference, observation definitions and currency or time basis.
  2. Enter independentlyWitnessedCriterionFlags, criterionEvidenceKnownFlags, using the field meanings and rules below, then run the tool.
  3. Read result.witnessedCriteria, result.knownMissingCriteria, result.unknownCriteria. 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
independentlyWitnessedCriterionFlagsIndependently witnessed criterion flags; binary 0/1 in the order documented belowlist of numberRequired
criterionEvidenceKnownFlagsCriterion evidence known flags; 1 means known and 0 means unknown; keep the same item orderlist of numberRequired

Supply exactly 3 binary criterion flags and matched binary known flags in the listed order. Return witnessed labels where both flags are 1, known missing labels where known=1 and observed=0, and unknown labels wherever known=0, regardless of the placeholder observed flag. No overall diagnosis, pass or approval is inferred.

Zero-based columnCriterion
0reported trust breach evidence
1reported ongoing attachment-related distress evidence
2qualified consent-based professional assessment evidence
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}

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.witnessedCriteriaCriterion labels observed present with known evidencelist of string
result.knownMissingCriteriaCriterion labels known to be absentlist of values
result.unknownCriteriaCriterion labels whose evidence is unknownlist of values
json
{
  "input": {
    "independentlyWitnessedCriterionFlags": [
      1,
      1,
      1
    ],
    "criterionEvidenceKnownFlags": [
      1,
      1,
      1
    ]
  },
  "output": {
    "result": {
      "witnessedCriteria": [
        "reported trust breach evidence",
        "reported ongoing attachment-related distress evidence",
        "qualified consent-based professional assessment evidence"
      ],
      "knownMissingCriteria": [],
      "unknownCriteria": []
    }
  }
}

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 Dreams Within Conflict Score Calculator to examine a related aspect: Dreams-within-conflict measures depend on an adopted rubric for independently assessed items.

Use Conflict Resolution Style Lookup where its separate inputs and scope apply: Conflict-resolution style records depend on an adopted framework and observation context.

References

  1. Attachment Injury Checker — tool.io

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