concept
active
concept:scalescale
A formal context with a suggestive interpretation used in conceptual scaling.
Neighborhood — ranked by edge-count
Methods (1)
method
- Conceptual Scalingassociated_withInterpretive process for transforming many-valued contexts into formal contexts via scale attributes.
Concepts (8)
concept
- Levels of Scalerelated_tosubtype_ofThe property that living structures contain centers at a beautiful range of sizes at well-marked levels with definite jumps, where each level helps the next; jumps should not be too great (ideally 2:1 to 4:1, less than 10:1)
- Human Scalerelated_toThe quality of spatial dimensions that feel comfortable and nurturing to human beings.
- background knowledgeassociated_withNon-implicational information (e.g., scaling information) that must be included for correct inference; affects tractability.
- dichotomic scaleassociated_withScale with two attribute values that are negations of each other (e.g., pass/fail).
- contranominal scaleassociated_withScale where each object has all but one attribute.
- multiordinal scaleassociated_withScale combining multiple ordinal attributes.
- nominal scaleassociated_withScale representing distinct attribute values without ordering.
- ordinal scaleassociated_withScale representing ordered attribute values.
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- The range from tiny to vast superintelligent minds and the question of how welfare and cost scale relative to each other
- Mechanisms by which smaller competent subunits bind into a higher-level Self with larger goals; key example via gap junction connections.
- 1-to-5 response scale used throughout psychometric scoring
- Used in the color cooccurrence experiment to embed colors into 3D space preserving dissimilarity matrix distances
- How the energy gain ΔE scales with perimeter length P; used to assess ordered phase existence
- Observation that SAE loss decreases as a power law with compute budget.
- Approach using extra compute at test time to double-check answers and improve reliability.