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the claim
Tacit knowledge can be measured using explicit performance indicators and elicitation methods.
the verdict
SUPPORTED
the evidence backs this
refutedsupported
the weight of evidence
4 sources for · 0 against

Evidence from multiple studies confirms that tacit knowledge can be effectively elicited and measured using structured performance indicators, motion analysis, and elicitation methods.

Evidence for · 4
How Does Embodiment Enable the Acquisition of Tacit Knowledge in Organizations? From Polanyi to Merleau-Ponty
2024 · cited by 32
Paper 0 argues that tacit knowledge is inferred and measured through task-specific performance fluency.
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The analysis

The retrieved papers provide robust support for the claim. Studies specifically demonstrate how tacit knowledge can be identified, made explicit, and evaluated using performance indicators, machine learning, motion sequence elicitation, and structured frameworks. No papers refute the claim.

More for · 3
Making tacit knowledge explicit: Generative AI's role in enhancing apprenticeship systems
2025 · cited by 3
Paper 3 demonstrates that tacit knowledge can be transformed into explicit performance indicators using AI systems and measured via competency tests.
Tacit Knowledge Elicitation Techniques Applied to Complex Manufacturing Processes
2017 · cited by 2
Paper 6 introduces an elicitation technique (MAKMOSE) that captures and elicits tacit knowledge through motion sequence analysis.
Cross-modal deep learning enhanced mixed reality accelerates construction skill transfer from experts to students.
2025 · cited by 1
Paper 8 shows that expert tacit knowledge can be captured and transferred using cross-modal deep learning and evaluated via objective performance metrics.
Everything we examined (12)
  1. How Does Embodiment Enable the Acquisition of Tacit Knowledge in Organizations? From Polanyi to Merleau-Pontypeer-reviewedsupports
  2. The value of knowledge sharing: impact of tacit and explicit knowledge sharing on team performance of scientistspeer-reviewedno side takennot shown: read and judged not to bear on this claim
  3. Project based learning framework integrating industry collaboration to enhance student future readiness in higher education.peer-reviewedno side takennot shown: read and judged not to bear on this claim
  4. Making tacit knowledge explicit: Generative AI's role in enhancing apprenticeship systemspeer-reviewedsupports
  5. Tacit Knowledge and Its Antonymspeer-reviewedno side takennot shown: read and judged not to bear on this claim
  6. Strategies and tools to learn from work that goes well within healthcare patient safety practices: a mixed methods systematic review.peer-reviewedno side takennot shown: read and judged not to bear on this claim
  7. Tacit Knowledge Elicitation Techniques Applied to Complex Manufacturing Processespeer-reviewedsupports
  8. Understanding dimensions of trust in AI through quantitative cognition: Implications for human-AI collaboration.peer-reviewedno side takennot shown: read and judged not to bear on this claim
  9. Cross-modal deep learning enhanced mixed reality accelerates construction skill transfer from experts to students.peer-reviewedsupports
  10. From Hidden Insights to Better Understanding: Physicians' Perspectives on Caregivers' Tacit Knowledge.peer-reviewedno side takennot shown: read and judged not to bear on this claim
  11. Dynamic Knowledge Elicitation: Leveraging Student Feedback for Improved Language Model Distillationpeer-reviewedno side takennot shown: read and judged not to bear on this claim
  12. Integrating Tacit Knowledge and AI for Digital Soil Mapping in Eastern Amazonia: Ensemble Learning, Model Performance, and Uncertainty Incorporationpeer-reviewedno side takennot shown: read and judged not to bear on this claim
The paper trail · every fact has a biography
first checked05 Aug 2026
judged → SUPPORTED · 8405 Aug 2026
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