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Record W1964093491 · doi:10.7152/nasko.v3i1.12804

RDA and RDF: A discourse analysis of two standards of resource description

2011· article· en· W1964093491 on OpenAlexfundno aff
Daniel Campbell

Bibliographic record

VenueNASKO · 2011
Typearticle
Languageen
FieldComputer Science
TopicLibrary Science and Information Systems
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsRDFResource (disambiguation)SkepticismIntermediaryWorld Wide WebComputer scienceSemantic WebRDF SchemaLinked dataKnowledge managementSPARQLEpistemologyBusinessPhilosophy

Abstract

fetched live from OpenAlex

The World Wide Web Consortium’s Resource Description Framework (RDF) and the library community’s new cataloguing standard, Resource Description and Access (RDA), both profess to provide sophisticated and flexible means of describing resources for modern Web environments. But both have attracted scepticism from potential users, who argue that their supposed innovations are overrated. A comparison of the two standards using Michel Foucault’s theory of discourse formations suggests that while the two standards differ in their community contexts and their use of intermediaries, they are similar to each other in their commitment to consistent, rigorously-defined entities and relationships; this shared commitment sets them apart from Web 2.0 developments, and offers the potential for fruitful collaboration.

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)0.014
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.015
Threshold uncertainty score0.072

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.021
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0070.006
Science and technology studies0.0050.014
Scholarly communication0.0110.024
Open science0.0020.007
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.035
GPT teacher head0.271
Teacher spread0.236 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations4
Published2011
Admission routes1
Has abstractyes

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