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
VenueProceedings of the ... International Florida Artificial Intelligence Research Society Conference · 2021
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsnot available
FundersNuclear PhysicsRussian Academy of SciencesPhilips Research AmericasUniversity of North Carolina at CharlotteUniversity of Colorado BoulderSlovenská technická univerzita v BratislaveUniversity of NicosiaLomonosov Moscow State UniversityUniversity of Texas at El PasoInternational Institute for Applied Systems AnalysisTechnological University DublinNanjing UniversityAgricultural University of AthensLos Alamos National LaboratoryNational and Kapodistrian University of AthensUniversidade Federal do Rio Grande do SulCentre National de la Recherche ScientifiqueSimon Fraser UniversityUniversité de Bretagne OccidentaleRadford UniversityTsinghua UniversityUniversität WienUniversità degli Studi di Milano-BicoccaUniversité du Québec en OutaouaisUniversity College CorkIllinois State UniversityAalborg UniversitetIndiana University BloomingtonInternational Science and Technology CenterCardiff UniversityTennessee Tech UniversityOffice of Naval ResearchUniversität TrierFlorida Institute of TechnologyUniversité du Québec à Trois-RivièresMontana State UniversityUniversitetet i BergenUniversity of MiamiUniversity of Texas at ArlingtonUniversity of South CarolinaCyprus University of TechnologyUniversity of ReginaUniversity of Louisiana at LafayetteMiddlesex UniversityArmy Research LaboratoryBradley UniversityDrexel UniversityWashington State UniversityUniversidade Federal de São João del-ReiUniversity of OttawaUniversity of Maryland, Baltimore CountyDePaul UniversityKennesaw State UniversityDana-Farber/Harvard Cancer CenterUniversity of CyprusSamsungUniversity of Southern CaliforniaUniversity of MemphisUniversity of ManchesterUniversity of HartfordUniversidade do PortoNorthwestern UniversityUniversity of Central FloridaTulane UniversityConcordia UniversityCentral Connecticut State UniversityUniversité du Québec à MontréalKorea UniversityUniverzita Karlova v PrazeUniversiteit GentUniversidade Federal de PelotasUniversity of PittsburghClemson UniversityMassachusetts Institute of Technology
KeywordsBusiness
Abstract
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 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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.751
Threshold uncertainty score0.999
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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 head0.253
GPT teacher head0.335
Teacher spread0.083 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itQuick stats
Citations0
Published2021
Admission routes1
Has abstractno