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.
VenueZenodo (CERN European Organization for Nuclear Research) · 2022
Typereport
Languageen
FieldComputer Science
TopicLibrary Science and Information
Canadian institutionsnot available
FundersUniversity of North Carolina at Chapel HillUniversity of California, Los AngelesUniversity of California, IrvineUniversity of DenverVassar CollegeUniversity of Texas at ArlingtonWest Virginia UniversityUniversity of North TexasUniversity of OxfordUniversity of South FloridaUniversity of Nebraska-LincolnUniversity of MiamiUniversity of RochesterUniversity of LouisvilleUniversity of WyomingUniversity of CincinnatiUniversity of PittsburghUniversity of OklahomaUniversity of WashingtonUniversity of Illinois at Urbana-ChampaignVillanova UniversityWake Forest UniversityVirginia Commonwealth UniversityUniversity of Wisconsin-MadisonUniversity of PennsylvaniaUniversity of California, San DiegoUniversity of TorontoYale UniversityVanderbilt UniversityUniversity of Notre DameUniversity of Massachusetts AmherstWilliams CollegeUniversity of Southern CaliforniaUniversity of OregonUniversity of South CarolinaUniversity of MinnesotaWellesley CollegeWayne State University
KeywordsEnvironmental science
Abstract
fetched live from OpenAlex2021-2022 Annual report of the Council on Library and Information Resources
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 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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.276
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 spread0.217 · 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
