MétaCan
Menu
Back to cohort
Record W4200349194 · doi:10.1111/lang.12477

Readers' Credits

2021· article· en· W4200349194 on OpenAlexfundno aff

Bibliographic record

VenueLanguage Learning · 2021
Typearticle
Languageen
FieldMedicine
TopicDiverse Approaches in Healthcare and Education Studies
Canadian institutionsnot available
FundersLeibniz-GemeinschaftIndiana University BloomingtonUniversité de LilleUniversity of Illinois at Urbana-ChampaignCollege of Engineering, Michigan State UniversityWestern Sydney UniversityUniversità Degli Studi di Modena e Reggio EmilaUniversity of ReadingMax Planck Instituut voor PsycholinguïstiekUniversität LeipzigUniversiteit van TilburgUniversity of WashingtonRijksuniversiteit GroningenHögskolan DalarnaRoyal Holloway, University of LondonUniversitetet i OsloBrock UniversityGeorgia State UniversityTechnische Universität BraunschweigUniversità degli Studi di GenovaUniversity of Hawai'i at MānoaWaseda UniversityUniversität SalzburgUniversiteit GentNanyang Technological UniversityKansai UniversityAlbert-Ludwigs-Universität FreiburgSan Francisco State UniversityDalhousie UniversityPeabody CollegeKanagawa UniversityStockholms UniversitetConcordia UniversityRadboud UniversiteitFlinders UniversityHeriot-Watt UniversityTemple UniversityUniversiteit UtrechtUniversity of Wisconsin-MadisonUniversiteit van AmsterdamUtah State UniversityVictoria UniversityUniversity of New EnglandVictoria University of WellingtonNational University of SingaporeLingnan UniversityUniversity of HyderabadUniversità per Stranieri di PerugiaDe Montfort UniversityUniversity of South FloridaRikkyo UniversityUniversität WienUniversity of GreenwichZhejiang UniversityNottingham Trent UniversityKU LeuvenUniversity of New South WalesIowa State UniversityUniversity of PittsburghPomona CollegeMcGill UniversityUniversitat Autònoma de BarcelonaUniversity of BathUniversidad de MurciaUniversity of OxfordUniversity of TwenteUniversity of Hawai'iLehigh UniversityUniversity of Texas at El PasoUniversitat de BarcelonaCentre National de la Recherche ScientifiqueKing's College LondonUniversity of UtahUniversity of Southern CaliforniaLouisiana State UniversityCase Western Reserve UniversityUniversity of SydneyUniversität RegensburgUniversity of CincinnatiSalisbury UniversityKarlstads universitetUniversity of AlabamaGeorgetown UniversityItä-Suomen YliopistoMichigan State UniversityMax-Planck-Institut für Kognitions- und NeurowissenschaftenUniversité Catholique de LouvainUniversiteit LeidenGeorge Mason UniversityVanderbilt UniversityYork UniversityUniversitat Pompeu FabraNorthwestern UniversityFlorida State UniversityUniversity of Texas at AustinRice UniversityTrent UniversityPortland State UniversityUniversity College LondonHong Kong Baptist UniversitySingapore Management UniversityBoston College
KeywordsCitationLinguisticsPsychologyComputer scienceWorld Wide WebPhilosophy

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.

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)0.002
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.833
Threshold uncertainty score0.239

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.019
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0020.001
Scholarly communication0.0060.003
Open science0.0020.004
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.8330.689

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 head0.052
GPT teacher head0.353
Teacher spread0.301 · 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
GenreEmpirical

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

Citations0
Published2021
Admission routes1
Has abstractno

Explore more

Same venueLanguage LearningSame topicDiverse Approaches in Healthcare and Education StudiesFrench-language works237,207