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Record W1604773380 · doi:10.1300/j115v25n01_06

Current Awareness in the New Millennium

2006· article· en· W1604773380 on OpenAlexaff
Carol Cooke

Bibliographic record

VenueMedical Reference Services Quarterly · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Media in Health Education
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsRSSNews aggregatorWeb syndicationWorld Wide WebNewspaperComputer scienceVariety (cybernetics)Process (computing)Point (geometry)Internet privacyMultimediaData scienceAdvertisingPolitical scienceBusinessArtificial intelligence

Abstract

fetched live from OpenAlex

Keeping current is essential for both patrons and librarians in the health sciences. We receive electronic and photocopied tables of contents. We subscribe to relevant mailing lists, newspapers and magazines. We review Web sites, books and journals. Our desks are littered with current awareness items that more often get old than read. RSS or "Really Simple Syndication' is a means of organizing and simplifying current awareness efforts. Using RSS feeds from a variety of sources along with aggregator software, librarians can keep up-to-date without the clutter. This article will provide a starting point from which to take advantage of RSS and continue the process of active learning.

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)0.003
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.991
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0020.002
Scholarly communication0.0090.013
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0210.005

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 head0.065
GPT teacher head0.407
Teacher spread0.341 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations18
Published2006
Admission routes1
Has abstractyes

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