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Record W1970438855 · doi:10.1300/j136v11n03_08

Slashdotting Digital Library Resources

2006· article· en· W1970438855 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternet Reference Services Quarterly · 2006
Typearticle
Languageen
FieldComputer Science
TopicInnovative Human-Technology Interaction
Canadian institutionsSeneca Polytechnic
Fundersnot available
KeywordsDigital libraryCrowdsRSSWeb syndicationWorld Wide WebBusinessService (business)The InternetDigital transformationKey (lock)AdvertisingComputer scienceInternet privacyMarketingComputer security

Abstract

fetched live from OpenAlex

ABSTRACT Libraries' information consumer market share continues to freefall, despite the opportunities that have emerged with the arrival of the Information Age. We've built digital libraries, offering access to immense digital collections of quality resources, and online service desks staffed by skilled experts, and the crowds are not coming. Marketing missteps are largely to blame for the declining role of libraries in people's lives. There is an awareness gap between the offering of digital libraries and the communities they serve. Referral marketing, modeled on blogs like Slashdot, is the key to increasing traffic to licensed digital library resources. RSS (Really Simple Syndication) technology offers new opportunities to broadcast continually fresh digital library content to popular community websites.

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 categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.561
Threshold uncertainty score1.000

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 communication0.0010.005
Open science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.007
GPT teacher head0.208
Teacher spread0.201 · 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