Dontopedia

scoring agent

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

scoring agent has 51 facts recorded in Dontopedia across 7 references, with 5 live disagreements.

51 facts·37 predicates·7 sources·5 in dispute

Mostly:scores separately(4), rdf:type(3), :evaluated virtue(3)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (12)

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.

scoredIndependentlyScored Independently(3)

passedToPassed to(2)

containsContains(1)

:describedComponent:described Component(1)

identicalToIdentical to(1)

notPenalizedNot Penalized(1)

passedToScoringAgentPassed to Scoring Agent(1)

preferredByPreferred by(1)

thenScoredThen Scored(1)

Other facts (49)

The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.

49 facts
PredicateValueRef
Scores SeparatelyEach Pillar[1]
Scores SeparatelyFreedom[4]
Scores SeparatelyKindness[4]
Scores SeparatelyTruth[4]
Rdf:typeSoftware Agent[5]
Rdf:typeSoftware Agent[6]
Rdf:typeSoftware Agent[7]
:evaluated VirtueFreedom[5]
:evaluated VirtueTruth[5]
:evaluated VirtueKindness[5]
Checks for Alignment WithThree Pillars[1]
Checks for Alignment WithThree Pillars[4]
Evaluates and ScoresThree Virtues[1]
Evaluates and ScoresTension Pillars[4]
UsesOpen Weight Model[1]
UsesOpen Weight Model[4]
Must Assign Score Between0.5[4]
Must Assign Score Between1.5[4]
:constrained Score Range0.5[5]
:constrained Score Range1.5[5]
Presupposes Ideal Harmony Exists1 1 1[1]
Ideal Harmonic Is1, 1, 1[1]
Gives Score Between0.5 and 1.5[1]
Rejects Via Rephrase If Fails TwicePersistent Fail[1]
Provides Evidence ViaScores[1]
Follows ProcessTriad Scoring[1]
Semantically UnderstandsThree Virtues[1]
Described in DetailProcess[1]
Scores inEach Response[1]
Uses Open Weight Model25K line data set[2]
Understands SemanticallyThree Virtues[2]
Checks AlignmentThree Pillars[2]
Evaluates ScoresTension Pillars[2]
Exists in SystemSystem[3]
Evaluates PerResponse[4]
Follows AfterMain Model[4]
Must Assign ScoresScore Range 0.5 1.5[4]
Positively EvaluatedUsual Passing[4]
Scores EachPillar[4]
:uses ModelOpen Weight Model[5]
:trained on Dataset25000[5]
:functionEvaluate Virtues[5]
:evaluated ConceptVirtue[5]
:checks forAlignment With Pillars[5]
:scores SeparatelyFtk Pillars[5]
Implemented byScoring Agent Model[7]
FunctionSemantic Understanding[7]
Checks forAlignment[7]
Has Output RangeScore Range[7]

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.

51 undated
—
checksForAlignmentWithblah/blocks/part-9
ex:three-pillars
—
presupposesIdealHarmonyExistsblah/blocks/part-9
ex:1-1-1
—
idealHarmonicIsblah/blocks/part-9
1, 1, 1
—
givesScoreBetweenblah/blocks/part-9
0.5 and 1.5
—
rejectsViaRephraseIfFailsTwiceblah/blocks/part-9
ex:persistent-fail
—
providesEvidenceViablah/blocks/part-9
ex:scores
—
evaluatesAndScoresblah/blocks/part-9
ex:three-virtues
—
usesblah/blocks/part-9
ex:open-weight-model
—
followsProcessblah/blocks/part-9
ex:triad-scoring
—
semanticallyUnderstandsblah/blocks/part-9
ex:three-virtues
—
describedInDetailblah/blocks/part-9
ex:process
—
scoresSeparatelyblah/blocks/part-9
ex:each-pillar
—
scoresInblah/blocks/part-9
ex:each-response
—
usesOpenWeightModelblah/blocks/part-2
25K line data set
—
understandsSemanticallyblah/blocks/part-2
ex:three-virtues
—
checksAlignmentblah/blocks/part-2
ex:three-pillars
—
evaluatesScoresblah/blocks/part-2
ex:tension-pillars
—
existsInSystemblah/models/part-15
ex:system
—
evaluatesAndScoresblah/omega/part-843
ex:tension-pillars
—
checksForAlignmentWithblah/omega/part-843
ex:three-pillars
—
evaluatesPerblah/omega/part-843
ex:response
—
followsAfterblah/omega/part-843
ex:main-model
—
mustAssignScoreBetweenblah/omega/part-843
0.5
—
mustAssignScoreBetweenblah/omega/part-843
1.5
—
mustAssignScoresblah/omega/part-843
ex:score-range-0.5-1.5
—
positivelyEvaluatedblah/omega/part-843
ex:usual-passing
—
scoresEachblah/omega/part-843
ex:pillar
—
scoresSeparatelyblah/omega/part-843
ex:freedom
—
scoresSeparatelyblah/omega/part-843
ex:kindness
—
scoresSeparatelyblah/omega/part-843
ex:truth
—
usesblah/omega/part-843
ex:open-weight-model
—
labelblah/blocks/8
scoring agent
—
typeblah/blocks/8
ex:SoftwareAgent
—
usesModelblah/blocks/8
ex:open-weight-model
—
trainedOnDatasetblah/blocks/8
25000
—
functionblah/blocks/8
ex:evaluate-virtues
—
evaluatedConceptblah/blocks/8
ex:virtue
—
evaluatedVirtueblah/blocks/8
ex:freedom
—
evaluatedVirtueblah/blocks/8
ex:truth
—
evaluatedVirtueblah/blocks/8
ex:kindness
—
checksForblah/blocks/8
ex:alignment-with-pillars
—
scoresSeparatelyblah/blocks/8
ex:FTK-pillars
—
constrainedScoreRangeblah/blocks/8
0.5
—
constrainedScoreRangeblah/blocks/8
1.5
—
typeblah/models/15
ex:SoftwareAgent
—
typeblah/omega/837
ex:SoftwareAgent
—
labelblah/omega/837
scoring agent
—
implementedByblah/omega/837
ex:scoring-agent-model
—
functionblah/omega/837
ex:semantic-understanding
—
checksForblah/omega/837
ex:alignment
—
hasOutputRangeblah/omega/837
ex:score-range

References (7)

7 references
  1. [1]Part 913 facts
    ctx:discord/blah/blocks/part-9
  2. [2]Part 24 facts
    ctx:discord/blah/blocks/part-2
  3. [3]Part 151 fact
    ctx:discord/blah/models/part-15
  4. [4]Part 84313 facts
    ctx:discord/blah/omega/part-843
  5. [5]813 facts
    ctx:discord/blah/blocks/8
    • full textblocks-8
      text/plain3 KBdoc:agent/blocks-8/75502eef-8ec0-4d1f-92fb-dafeb2071e90
      Show excerpt
      [2025-12-30 03:24] ajaxdavis: about to start work on it and bring into all projects [2025-12-30 03:27] ajaxdavis: fixing this hllm integration/tpmjs first though [2025-12-31 09:47] ajaxdavis: considering just booting up claude in my `repos`…
  6. [6]151 fact
    ctx:discord/blah/models/15
  7. [7]8376 facts
    ctx:discord/blah/omega/837
    • full textomega-837
      text/plain2 KBdoc:agent/omega-837/09ff7339-3969-4b55-8739-569141d3d630
      Show excerpt
      [2026-01-12 20:47] therosegoblin: <@1438866165475708979> So. If you’re interested in the architecture I’m building here’s a quick overview of how it works. I have trained a family of Mistral base models through supervised learning on data …

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