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Outer Mean

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)

Outer Mean has 4 facts recorded in Dontopedia across 2 references, with 1 live disagreement.

4 facts·3 predicates·2 sources·1 in dispute
Maturity scale raw canonical shape-checked rule-derived certified

Rdf:typein disputerdf:type

Argumentargument

Rdfs:labelrdfs:label

  • np.mean(...)[1]all time · 64905869 24bb 45f8 B86a 4196d76ab3c4

Inbound mentions (1)

Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.

outerOperationOuter Operation(1)

Timeline

Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.

4 undated
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argumentbeam/64905869-24bb-45f8-b86a-4196d76ab3c4
ex:list-comprehension
—
labelbeam/64905869-24bb-45f8-b86a-4196d76ab3c4
np.mean(...)
—
typebeam/64905869-24bb-45f8-b86a-4196d76ab3c4
ex:FunctionCall
—
typebeam/dd276301-ccba-4bf0-8c83-855e2c5ddb6c
ex:SubCalculation

References (2)

2 references
  1. [1]64905869 24bb 45f8 B86a 4196d76ab3c43 facts
    customctx:claims/beam/64905869-24bb-45f8-b86a-4196d76ab3c4
  2. [2]beam-chunk1 fact
    customctx:claims/beam/dd276301-ccba-4bf0-8c83-855e2c5ddb6c
    • full textbeam-chunk
      text/plain1 KBdoc:beam/dd276301-ccba-4bf0-8c83-855e2c5ddb6c
      Show excerpt
      # Implement secure tuning logic here return np.random.rand(len(dataset)) # Apply secure tuning to datasets tuned_datasets = [secure_tuning(dataset) for dataset in datasets] # Calculate compliance rate compliance_rate = np.mean([np…

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