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Record W2331520086 · doi:10.1142/9789812837578_0024

OPEN SOURCE TOOLS FOR MANAGING KNOWLEDGE IN A SMALL NON-PROFIT ORGANIZATION

2008· preprint· en· W2331520086 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueKnowledge management · 2008
Typepreprint
Languageen
FieldSocial Sciences
TopicKnowledge Management and Sharing
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsKnowledge managementProfit (economics)Open sourceBusinessKnowledge value chainOpen source softwareKnowledge creationPersonal knowledge managementSoftwareComputer scienceOrganizational learningMarketing

Abstract

fetched live from OpenAlex

AbstractThe paper explores the issue of managing knowledge in a very small non-profit organization. A pilot study was conducted with a very small non-profit organization to understand the current state of knowledge management, issues in managing knowledge and tools being employed for knowledge management. The paper identifies the issues and suggests the potential technological solutions from open source software products and free online tools, such as wikis, youtube and flickr, that could be used to share the knowledge for better productive use of time and resources of a small low budget non-profit organization. The study also presents the power of a lightweight pilot study for understanding the issues for future knowledge management systems design for such organizations and potential use of open source software for such noble causes.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Open science
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.892
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0040.013
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.095
GPT teacher head0.349
Teacher spread0.253 · 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