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Record W2322446934 · doi:10.1300/j123v42n01_10

New Models for Serials

2002· article· en· W2322446934 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueThe Serials Librarian · 2002
Typearticle
Languageen
FieldComputer Science
TopicLibrary Collection Development and Digital Resources
Canadian institutionsnot available
Fundersnot available
KeywordsEncyclopediaWorld Wide WebPublishingComputer scienceService (business)Collection developmentElectronic publishingBusiness modelThe InternetLibrary scienceBusinessPolitical science

Abstract

fetched live from OpenAlex

Abstract Two fundamental changes are taking place in the electronic serials environment that will transform both the publishing and the library communities. First, the nature of the “serial” is changing, as online reference works are increasingly purchased on subscription. We have traditionally defined published information according to the format in which it was published in print. But encyclopedias, monographs, and journals all become content on the Web. Publishers will package reference works and jour-nals-and even monographs-together as subscription-based services. The challenge for librarians is to identify the different components of the service, locate the peer-reviewed research paper, and provide navigation aids to the user. Second, the evidence from usage as widely spread as the USA, Canada, and Australia indicates that access to packages of online serials both broadens usage and increases volume dramatically. This challenges traditional techniques of collection management and presents opportunities to redefine the business models for acquiring e-serials. This paper will explore these changes and present evidence that these trends will change the way in which publishers and librarians do business together. At last we can cast off the print legacy that affects our thinking about the creation and delivery of information online.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Methods · Consensus signal: none
Teacher disagreement score0.391
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0020.005
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.053
GPT teacher head0.201
Teacher spread0.148 · 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