yogsoth-ai/de-anthropocentric-research-engine - Page 22

weight-elicitation

Determine criteria weights using AHP, Swing, BWM, MACBETH, or Simos methods.

weight-elicitation-sop

Compute criteria weights using a specified elicitation method (AHP, Swing, BWM, MACBETH, or Simos).

white-space-analysis

Identify patent coverage gaps — feature cross-matrix blank areas revealing unprotected technology combinations. Budget: 150 patent families, 10 claim parses, 60 web searches.

white-space-detection

Identify matrix regions not covered by existing methods

white-space-identification

Identify unexplored viable regions in the morphological matrix where no existing methods operate.

white-space-mapping

Feature cross-matrix construction and blank area identification for patent opportunity mapping

wickedness-assessment

Apply Rittel's 10 criteria to determine if the problem is tame, complex, or wicked, and adjust research strategy accordingly.

wickedness-scoring

Score a problem against Rittel's 10 criteria to determine if it is tame, complex, or wicked.

winner-stress-testing

Stress-test the winning candidate using Pre-mortem, Red Teaming, and Failure Mode Analysis to expose hidden weaknesses before commitment.

worst-case-construction

Construct extreme but plausible worst-case scenarios for stress testing

worst-case-design

Design the worst possible solution. Deliberate failure engineering to reveal hidden constraints and inversion opportunities.

worst-method-inversion

Design worst possible solution → extract insights → invert. Deliberate failure design as creative catalyst.

zwicky-box-construction

Classic Zwicky box: parameter identification → value enumeration → matrix construction

scope-assessment

SOP: Assess whether a research question has appropriate scope (too broad / appropriate / too narrow)

spice-application

SOP: Apply the SPICE framework to structure an evaluation research question

spider-application

SOP: Apply the SPIDER framework to structure a qualitative research question

sub-question-generation

SOP: Decompose a main research question into independently answerable sub-questions

success-criteria-definition

SOP: Define measurable success criteria for a research question

weight-perturbation

SOP: Perturb weights to test gap-ranking stability, output a stability verdict

hypothesis-synthesis

SOP: synthesize all intermediate products into a final structured hypothesis set

impact-scoring

SOP: assess the potential impact of a research gap, identify beneficiaries and output an impact score

importance-scoring

SOP: assess the academic and practical importance of a research gap, output a 1-5 score with rationale

mechanism-extraction

SOP: extract causal mechanism chains from a theory

operationalization

SOP: operationalize abstract concepts into measurable indicators and methods

pico-application

SOP: apply the PICO/PICOTS framework to structure a research question

plausibility-ranking

SOP: rank candidate explanations by plausibility using multi-dimensional weighted scoring

priority-synthesis

SOP: synthesize all scoring data into a final gap priority list and attack-path suggestions

question-synthesis

SOP: synthesize all intermediate products into a final research-question set

relationship-specification

SOP: specify the direction and form of relationships between variables

dependency-mapping

SOP: map dependency relationships among sub-questions

discriminating-prediction-design

SOP: design key predictions and observation plans that can distinguish competing hypotheses

eclipse-application

SOP: apply the ECLIPSE framework to structure a mixed-methods research question

explanation-generation

SOP: generate a list of candidate explanations for an anomalous phenomenon

falsifiability-check

SOP: check whether a hypothesis meets the falsifiability criterion

feasibility-scoring

SOP: assess the attackability of a research gap, identify bottlenecks, and output a feasibility score

finer-criteria-check

SOP: check research-question quality against each of the 5 FINER criteria

framework-matching

SOP: Match the most suitable RQ framework based on research type

gap-normalization

SOP: Unify gaps from different sources into the standard GapRecord format

gap-pairwise-judgment

SOP: Make a criterion-by-criterion relative priority judgment between two gaps and output the preference result

hypothesis-comparison-matrix

SOP: Build a multi-dimensional comparison matrix of competing hypotheses