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Record W2484992029 · doi:10.29173/cais544

Work-to-Work Bibliographic Relationships from FRBR Point of View: A Canadian Perspective

2013· article· fr· W2484992029 on OpenAlexaffvenueabout
Clément Arsenault, Alireza Noruzi

Bibliographic record

VenueProceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI · 2013
Typearticle
Languagefr
FieldComputer Science
TopicLibrary Science and Information Systems
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsPerspective (graphical)Work (physics)Library scienceSociologyHumanitiesPolitical sciencePhilosophyComputer scienceEngineeringArtificial intelligence

Abstract

fetched live from OpenAlex

This study examines bibliographic relationships between Canadian publications published in 2009 available in AMICUS (Canadian National Catalogue). It consisted of categorizing bibliographic relationships in the taxonomy of work-to-work relationships available in the FRBR Final Report. The study indicates frequencies of occurrences of bibliographic relationships based on manifestations found in AMICUS.Cette étude examine les relations bibliographiques entre les documents canadiens publiés en 2009 et répertoriées dans AMICUS (le catalogue national du Canada). L’objectif était de catégoriser les relations bibliographiques suivant la taxinomie des relations entre une œuvre et une œuvre disponible dans les SFNB : Rapport final. L’étude présente les fréquences d’occurrences de relations bibliographiques selon les manifestations trouvées dans AMICUS.

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)0.004
metaresearch head score (Gemma)0.023
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.987
Threshold uncertainty score0.518

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.023
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0580.125
Science and technology studies0.0110.005
Scholarly communication0.0130.005
Open science0.0020.004
Research integrity0.0010.001
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 head0.038
GPT teacher head0.229
Teacher spread0.192 · 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.

Study designTheoretical or conceptual
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

Citations0
Published2013
Admission routes3
Has abstractyes

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Same venueProceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSISame topicLibrary Science and Information SystemsFrench-language works237,207