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Record W131789328

Exploring the Role of Books as a Knowledge Translation Mechanism: Citation Analysis and Author Survey

2011· article· en· W131789328 on OpenAlexaff
Alexander Serenko, Nick Bontis, Madora Moshonsky

Bibliographic record

VenueJournal of the Association for Information Systems · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicKnowledge Management and Sharing
Canadian institutionsMcMaster UniversityLakehead University
Fundersnot available
KeywordsCitationScholarly communicationComputer scienceCitation analysisLibrary scienceContent analysisKnowledge managementWorld Wide WebSociologySocial sciencePublishingLiteratureArt
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this study is to empirically investigate whether books serve as effective knowledge distribution agents andwhether the body of knowledge published in peer-reviewed sources is used in the development of book content. The resultsof citation analysis in 40 authored and 9 edited books, followed by the survey of 35 book authors, demonstrate that peerreviewedsources, such as refereed journals, book chapters and conference proceedings, are used to develop the content ofknowledge management and intellectual capital (KM/IC) books. Edited books contain twice as many references fromrefereed journals as authored books. The major source of references in KM/IC books are other books. Personal research is themajor non-citable source of book content. The study concludes that the indirect knowledge distribution channel plays a keyrole in the process of dissemination of scholarly findings to practitioners.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmaBibliometrics
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
gptBibliometricsScholarly communication
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationalhigh
models splitAgreement compares identical category sets and study designs across arms.

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)0.008
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.534
Threshold uncertainty score0.296

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.001
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 head0.195
GPT teacher head0.312
Teacher spread0.117 · 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

Labeled directly by 2 models reading the full record.

BibliometricsScholarly communication

The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.

Study designObservational
Domainnot available
GenreEmpirical

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

Citations2
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueJournal of the Association for Information SystemsSame topicKnowledge Management and SharingCategoryBibliometricsFrench-language works237,207