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Record W4393074830 · doi:10.1007/978-3-031-56069-9

Advances in Information Retrieval

2024· book· en· W4393074830 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.

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.

Bibliographic record

VenueLecture notes in computer science · 2024
Typebook
Languageen
FieldComputer Science
TopicInformation Retrieval and Search Behavior
Canadian institutionsnot available
FundersNational Institute of InformaticsUniversité de LyonUral Federal UniversityLibera Università di BolzanoUniversität Duisburg-EssenMasarykova UniverzitaIndian Institute of Technology DelhiTechnische Universität BerlinUniversität ZürichUniversidad Nacional del Centro de la Provincia de Buenos AiresUniversità di BolognaUniversität RegensburgUniversitetet i BergenRadboud UniversiteitUniversity of WaterlooQatar UniversityTsinghua UniversityUniversitatea Politehnica din BucureștiRenmin University of ChinaTechnische Universiteit DelftUniversity of ChittagongUniversità degli Studi di Milano-BicoccaUniversiteit van AmsterdamUniversity of WindsorTechnische Universität WienLeibniz-GemeinschaftSapienza Università di RomaUniversity of QueenslandÉcole Polytechnique Fédérale de LausanneUniversität PassauUniversity College LondonUniversity College DublinUniversity of SouthamptonUniversidade do PortoDublin City UniversitySeoul National UniversityEberhard Karls Universität TübingenUniversiteit LeidenUniversity of GlasgowUniversity of RoehamptonCentre National de la Recherche ScientifiqueUniversidade de Santiago de CompostelaTechnische Universität BraunschweigUniversità degli Studi di CagliariFriedrich-Schiller-Universität JenaUniversity of CyprusCommonwealth Scientific and Industrial Research OrganisationUniversidad Autónoma de MadridGeorgetown UniversityUniversidade da CoruñaUniversidade da Beira InteriorTel Aviv UniversityNational Institute of Advanced Industrial Science and TechnologyConsejo Nacional de Investigaciones Científicas y TécnicasRégion NormandieTU Graz, Internationale Beziehungen und MobilitätsprogrammeDrexel UniversityAalborg UniversitetKaiser PermanenteCarnegie Mellon UniversityUniversitetet i StavangerUniversitatea din BucureștiUniversità degli Studi di PadovaUniversity of California, San DiegoJohns Hopkins UniversitySociété d'Accélération du Transfert de TechnologiesBrown University
KeywordsComputer scienceInformation retrieval

Abstract

fetched live from OpenAlex
No 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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.978
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0010.006
Open science0.0030.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.010
GPT teacher head0.266
Teacher spread0.255 · 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