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.
fundA Canadian funder is recorded on the work.
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.
VenueLecture notes in business information processing · 2023
Typebook
Languageen
FieldComputer Science
TopicWeb visibility and informetrics
Canadian institutionsnot available
FundersUniversitat Politècnica de ValènciaUniversité de NamurConsejo Superior de Investigaciones CientíficasConservatoire National des Arts et MétiersStockholms UniversitetUniversidade do MinhoTartu ÜlikoolUniversité Toulouse III - Paul SabatierUniversity of the AegeanUniversiteit van TilburgUniversità degli Studi di TrentoKanagawa UniversityUniversidade Nova de LisboaUniversité Polytechnique Hauts-de-FranceUniversitetet i BergenBarcelona Supercomputing CenterDanmarks Tekniske UniversitetUniversity of HaifaUniversidad de AlicanteUniversität WienSapienza Università di RomaTechnische Universität WienBeijing University of TechnologyUniversiteit GentKU LeuvenRīgas Tehniskā UniversitāteChalmers Tekniska HögskolaUniversity of TwenteUniversitat Politècnica de CatalunyaUniversity of BrightonUniversité de FribourgPolitecnico di TorinoUniversité Grenoble AlpesUniversidad de SevillaUniversity of Ottawa
KeywordsInformation scienceData scienceComputer scienceLibrary science
Abstract
fetched live from OpenAlexNo abstract in any covered source. Its absence is recorded, not treated as a negative.
No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
Full frame distilled prediction
Teacher imitationNot 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)0.020
metaresearch head score (Gemma)0.020
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Bibliometrics, Science and technology studies, Scholarly communication
Consensus categoriesBibliometrics, Science and technology studies, Scholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.958
Threshold uncertainty score1.000
Codex and Gemma teacher scores by category
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.
Teacher spread0.257 · 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
