Skip to content

Main content

Oral History Turn Count Tool

Count supplied transcript speaker turns under explicit exclusion and consecutive-entry rules.

Loading tool…

Description

Count oral-history speaker turns after exclusions.

Anthropological records depend on source-specific labels, observation periods, coding choices and participant context. A ratio, cyclic index or kinship-code offset describes supplied data rather than identifying a social relationship or cultural meaning. Replacing names with aliases does not establish anonymity.

Count oral-history speaker turns after exclusions.

When to use this tool

Use Oral History Turn Count when checking the stated observation, coding, chronology or record convention.

How to use the tool and how it works

  1. Enter speakerIds, excludedSpeakers, mergeConsecutive. Follow any array-alignment requirements below. Use the units and conventions below.
  2. Run the tool. Correct any format, range, or cross-field input error before interpreting the output.
  3. Read turnCount, retainedEntries. Use the output convention below.

Count oral-history speaker turns after exclusions. Remove excluded speaker labels, then count all retained entries or merge adjacent identical retained labels when mergeConsecutive.1

Input fieldMeaning and unitsAccepted input
speakerIdsSpeaker IdsRequired. Array of text; maximum UTF-16 length 8192; maximum items 256.
excludedSpeakersExcluded SpeakersRequired. Array of text; maximum UTF-16 length 8192; maximum items 256.
mergeConsecutiveMerges adjacent retained speaker IDs after exclusions, so removal can join formerly separated turns.Required. Boolean.
Output fieldInterpretationReturned shape
turnCountTurn CountRequired. Safe integer.
retainedEntriesRetained EntriesRequired. Safe integer.
json
{
  "input": {
    "speakerIds": [
      "A",
      "A",
      "X",
      "B",
      "B",
      "A"
    ],
    "excludedSpeakers": [
      "X"
    ],
    "mergeConsecutive": true
  },
  "output": {
    "turnCount": 3,
    "retainedEntries": 5
  }
}

Limitations and assumptions

  • Exclusion occurs before merging, so removed speakers can join formerly separate turns; no speech recognition or actual discourse interpretation is performed.
  • Inputs must satisfy both the field types and the cross-field conditions above. Invalid input causes an error; a successful false flag or documented placeholder is a different result.

Alternative or Complementary methods

Consult the original field records, community context and appropriate ethical/privacy practices for cultural interpretation or disclosure decisions.

References

  1. Calculation and input contract: anthropology/oral-history-turn-count — tool.io

Similar or alternative tools