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Record W1607689128 · doi:10.28945/2625

Role of Information Professionals in Knowledge Management Programs : Empirical Evidence from Canada

2003· article· en· W1607689128 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInforming Science and IT Education Conference · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicKnowledge Management and Sharing
Canadian institutionsWestern University
Fundersnot available
KeywordsIntranetKnowledge managementPersonal knowledge managementInformation managementEmpirical researchPsychologyOrganizational learningComputer scienceWorld Wide WebThe Internet

Abstract

fetched live from OpenAlex

The objective of this study is to provide empirical evidence of the role of information professionals in knowledge management programs. 386 information professionals working in Canadian organizations were selected from the Special Libraries Association’s Who’s Who in Special Libraries 2001/2002 and questionnaire with a stamped self-addressed envelope for its return was sent to each one of them. 63 questionnaires were completed and returned, and 8 in-depth interviews conducted. About 59% of the information professionals surveyed are working in organizations that have knowledge management programs with about 86% of these professionals being involved in the programs. Factors such as gender, age, and educational background (i.e. highest educational qualifications and discipline) did not seem to have any relationship with involvement in knowledge management programs. Many of those involved in the programs are playing key roles, such as the design of the information architecture, development of taxonomy, or content management of the organization’s intranet. Others play lesser roles, such as providing information for the intranet, gathering competitive intelligence, or providing research services as requested by the knowledge management team.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.578
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.066
GPT teacher head0.369
Teacher spread0.304 · 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