Bibliographic record
Abstract
A three‐layer, cognitive domains, functional and resources, reference model for knowledge management systems is developed. This model aims at providing the basis for identifying the processes to be supported by any knowledge management support system (KMSS), for modeling the dynamics of these processes, for developing a framework of a business‐aware approach to KMSS development methodology, and for developing blueprints for information/communication technology (ICT)‐based KMSS. The first layer deals with the organizational knowledge and its characterization in terms of knowledge things. The concept of “K‐manipulating situation” is introduced and used as a conceptual construct for structuring the functional aspects of KMSS. While this construct combines knowledge and its manipulating processes, it also captures the social aspects of them by including the involved actors and their roles. Examples from Matsushita’s “Home Bakery” case study are used to illustrate the application of the reference model.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.010 | 0.013 |
| Open science | 0.007 | 0.003 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 0.005 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".