MétaCan
Menu
Back to cohort
Record W4413841889 · doi:10.34190/eckm.26.2.3983

Some Provocations Concerning the Foundations of IC and KM Research

2025· article· en· W4413841889 on OpenAlexaff
Anthony Wensley, M. Max Evans

Bibliographic record

VenueEuropean Conference on Knowledge Management · 2025
Typearticle
Languageen
FieldComputer Science
TopicOpen Education and E-Learning
Canadian institutionsMcGill UniversityUniversity of Toronto
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

The overall objective of this paper is to propose and discuss some provocative questions about the foundations of IC and KM research. These provocations primarily, but not exclusively, address issues with respect to the ontologies and epistemologies that underlie these areas of research. The nature of knowledge and its articulation lies at the heart of concerns with the current theories underpinning IC and KM and, indeed IC and KM research generally. Such concerns also raise interesting issues about many existing research studies in IC and KM. Of particular concern are the ways in which the terms ‘knowledge’ and ‘intellectual capital’ are defined (or not defined) and explored. It is critical that generally agreed on definitions of key concepts are identified so that firm foundations exist as a basis for empirical investigations. However, it is argued that these definitions are likely to be open-ended and need to recognize that, at least with respect to value, the definition of relevant concepts is radically dependent on context at many different levels. From a definitional perspective IC and KM are intertwined and overlapping. Furthermore, to the extent that one of the dominate objectives of the management of IC and KM is the creation of value the contribution of the components of IC and KM is intimately related to the individual, group, organization and social context within which such management takes place. Although this paper offers provocations with respect to the current state of IC and KM research, it also provides some suggestions as to potentially fruitful extensions of existing research. One stems from a nuanced consideration of knowledge and the interaction of knowledge and IC in generating value. It is suggested that much insight can be gained through a renewed consideration of such disciplines as Economics and Organizational Studies. The paper concludes by proposing that IC and KM researchers refocus both on the intersection between the two research areas and the nature and value of knowledge.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.052
metaresearch head score (Gemma)0.092
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.052
Threshold uncertainty score0.275

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0520.092
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0070.007
Science and technology studies0.0070.090
Scholarly communication0.0180.042
Open science0.0060.014
Research integrity0.0140.019
Insufficient payload (model declined to judge)0.0110.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.136
GPT teacher head0.386
Teacher spread0.250 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueEuropean Conference on Knowledge ManagementSame topicOpen Education and E-LearningFrench-language works237,207