Source Diversity Gender Outlet Percent Tracker

Track actual distinct source records under caller self-reported gender/outlet labels with missing values separate and conditional known-evidence denominators; no gender inference from names, fixed binary taxonomy or quota judgement.

Description

Diversity tallies depend on explicitly reported categories.

Diversity tallies depend on explicitly reported categories. Shares among known evidence differ from shares among all sources.^[1]

Enter aligned nonempty unique source IDs and exact gender/outlet labels, using empty string for unknown. Preserve first-occurrence categories and return labels/counts/known shares plus unknown counts.

When to use Source Diversity Gender Outlet Percent Tracker

Use Source Diversity Gender Outlet Percent Tracker when you need to evaluate the supplied records under the calculation and evidence rules below. All-unknown categories return empty lists. No gender inference, fixed binary taxonomy or quota judgment is supplied.

Prepare the actual editorial, source, layout, timing or audience records requested. Supply explicit house-policy limits and preserve missing evidence.

How to use Source Diversity Gender Outlet Percent Tracker and understand its results

Prepare the actual editorial, source, layout, timing or audience records requested. Supply explicit house-policy limits and preserve missing evidence.
Enter sourceIds, callerGenderLabels, callerOutletLabels using the field table and calculation rules, then run the tool.
Read observedGenderLabels, genderCounts, genderSharesOfKnownEvidence, unknownGenderSourceCount, observedOutletLabels, outletCounts, outletSharesOfKnownEvidence, unknownOutletSourceCount. The explanation below defines the units, signs, ordering and any flags or placeholder values.
If the tool reports an input issue, correct the values and run it again. Apply the stated assumptions when interpreting a successfully returned result.

Input field	Meaning	Value type; see rules below	Requirement
sourceIds	Source ids	list of string	Required
callerGenderLabels	Caller gender labels	list of string	Required
callerOutletLabels	Caller outlet labels	list of string	Required

categoryShare=categoryCount/knownLabelCount

Units, indexing, boundary conditions and exceptional cases are defined in the calculation rules above.

Output field	Meaning	Value type
observedGenderLabels	Observed gender labels	list of string
genderCounts	Gender counts	list of number
genderSharesOfKnownEvidence	Gender shares of known evidence	list of number
unknownGenderSourceCount	Unknown gender source count	number
observedOutletLabels	Observed outlet labels	list of string
outletCounts	Outlet counts	list of number
outletSharesOfKnownEvidence	Outlet shares of known evidence	list of number
unknownOutletSourceCount	Unknown outlet source count	number

json

{
  "input": {
    "sourceIds": [
      "a",
      "b",
      "c"
    ],
    "callerGenderLabels": [
      "x",
      "y",
      ""
    ],
    "callerOutletLabels": [
      "local",
      "local",
      "national"
    ]
  },
  "output": {
    "observedGenderLabels": [
      "x",
      "y"
    ],
    "genderCounts": [
      1,
      1
    ],
    "genderSharesOfKnownEvidence": [
      0.5,
      0.5
    ],
    "unknownGenderSourceCount": 1,
    "observedOutletLabels": [
      "local",
      "national"
    ],
    "outletCounts": [
      2,
      1
    ],
    "outletSharesOfKnownEvidence": [
      0.6666666666666666,
      0.3333333333333333
    ],
    "unknownOutletSourceCount": 0
  }
}

Limitations and assumptions

All-unknown categories return empty lists. No gender inference, fixed binary taxonomy or quota judgment is supplied.

Numeric inputs, where present, must be finite. Follow the calculation-specific rules for overflow, underflow and exceptional cases. Numeric lists are limited to 10,000 entries; string lists to 128 strings of at most 128 characters each. The rules above may impose smaller limits. Missing required fields, extra fields, wrong value types and violations of the calculation rules are input errors.

Alternative or Complementary methods

Use Two Independent Sources Verification Rule Checker: Independent corroboration counts distinct provenance groups rather than repeated copies of one origin. Source records and group identity serve different roles. For a complementary task, use Letter Frequency Rank By Language Lookup Table: Letter-frequency ranks describe the supplied corpus and alphabet. Ties use competition rank rather than an arbitrary alphabet order.

References

Source Diversity Gender Outlet Percent Tracker — tool.io

Similar or alternative tools

Two Independent Sources Verification Rule Checker
Independent corroboration counts distinct provenance groups rather than repeated copies of one origin. Source records and group identity serve different roles.
Letter Frequency Rank By Language Lookup Table
Letter-frequency ranks describe the supplied corpus and alphabet. Ties use competition rank rather than an arbitrary alphabet order.