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Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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Taxonomy of Mastery Failure Modes (TMF)

Authors: Ahmadov, Murad;

Taxonomy of Mastery Failure Modes (TMF)

Abstract

This record establishes authorship and temporal priority for the Taxonomy of Mastery Failure Modes (TMF). The abstract introduces a structured framework for analyzing recurring ways in which apparent mastery fails to generalize or remain robust under change. TMF organizes mastery failures into three layers—causal mechanisms, observable symptoms, and remediation levers—and is intended as a diagnostic, evolving framework compatible with future theoretical, empirical, and normative extensions. This upload contains the abstract only and is released to establish priority. Subsequent publications will provide expanded formalization, examples, and empirical evaluation. 

Keywords

mastery taxonomy, conceptual mastery, machine learning evaluation, robustness analysis, negative results, mastery failure modes, learning robustness, diagnostic frameworks, educational assessment, generalization failure

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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