Laban Effort Factors Flow Weight Time Space Lookup

Inventory actual caller Laban effort annotations by ordered flow/weight/time/space polarities and explicit evidence mask; caller defines 0/1 poles, no automated psychological/body-quality inference or normative scores.

Description

Laban effort-factor inventories require declared poles and evidence.

Laban effort-factor inventories require declared poles and evidence. Flow, weight, time and space remain separate columns.^[1]

Enter aligned nonempty binary four-column annotation/evidence matrices ordered flow,weight,time,space. Caller defines which pole is 0/1. Return two known counts per factor and unknown counts.

When to use Laban Effort Factors Flow Weight Time Space Lookup

Use Laban Effort Factors Flow Weight Time Space Lookup when you need to evaluate the supplied records under the calculation and evidence rules below. No automated psychological/body-quality inference or normative scoring is supplied.

Prepare the annotated dance, timing, rehearsal or inventory records requested. Supply caller rules, evidence flags and local reference values; distinguish beats, bars, counts and seconds.

How to use Laban Effort Factors Flow Weight Time Space Lookup and understand its results

Prepare the annotated dance, timing, rehearsal or inventory records requested. Supply caller rules, evidence flags and local reference values; distinguish beats, bars, counts and seconds.
Enter callerEffortFactorAnnotations, callerEffortEvidenceFlags using the field table and calculation rules, then run the tool.
Read knownLowHighCountsByFlowWeightTimeSpace, unknownCountsByFlowWeightTimeSpace. 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
callerEffortFactorAnnotations	Caller effort factor annotations	list of list of number	Required
callerEffortEvidenceFlags	Caller effort evidence flags	list of list of number	Required

Enter aligned nonempty binary four-column annotation/evidence matrices ordered flow,weight,time,space. Caller defines which pole is 0/1. Return two known counts per factor and unknown counts.

count[factor,pole]=observations with matching annotation and evidence1

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

Output field	Meaning	Value type
knownLowHighCountsByFlowWeightTimeSpace	Known low high counts by flow weight time space	list of list of number
unknownCountsByFlowWeightTimeSpace	Unknown counts by flow weight time space	list of number

json

{
  "input": {
    "callerEffortFactorAnnotations": [
      [
        0,
        1,
        0,
        1
      ],
      [
        1,
        1,
        0,
        0
      ]
    ],
    "callerEffortEvidenceFlags": [
      [
        1,
        1,
        1,
        1
      ],
      [
        1,
        0,
        1,
        1
      ]
    ]
  },
  "output": {
    "knownLowHighCountsByFlowWeightTimeSpace": [
      [
        1,
        1
      ],
      [
        0,
        1
      ],
      [
        2,
        0
      ],
      [
        1,
        1
      ]
    ],
    "unknownCountsByFlowWeightTimeSpace": [
      0,
      1,
      0,
      0
    ]
  }
}

Limitations and assumptions

No automated psychological/body-quality inference or normative scoring is supplied.

Numeric inputs, where present, must be finite. Follow the calculation-specific rules for overflow, underflow and exceptional cases. Matrices are limited to 128 rows and 128 entries per row. 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 Labanotation vs Benesh Notation Literacy Lookup: Notation literacy checklists can distinguish passed, failed and unknown tasks for each system. Evidence must accompany results. For a complementary task, use Level Change Low Mid High Distribution Counter: Low/mid/high counts require caller level annotations and explicit evidence. Unknown observations form a separate total.

References

Laban Effort Factors Flow Weight Time Space Lookup — tool.io

Similar or alternative tools

Labanotation vs Benesh Notation Literacy Lookup
Notation literacy checklists can distinguish passed, failed and unknown tasks for each system. Evidence must accompany results.
Level Change Low Mid High Distribution Counter
Low/mid/high counts require caller level annotations and explicit evidence. Unknown observations form a separate total.