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Record W4323346406 · doi:10.5281/zenodo.7706067

2020 - 2021 Annual Report

2021· report· en· W4323346406 on OpenAlexfundno aff
Charles Henry

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2021
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 OregonUniversity of South CarolinaWayne State UniversityWellesley CollegeUniversity of MinnesotaUniversity of OttawaUniversity of OklahomaUniversity of WashingtonUniversity of Illinois at Urbana-ChampaignVillanova UniversityWake Forest UniversityVirginia Commonwealth UniversityUniversity of Wisconsin-MadisonUniversity of North Carolina at GreensboroUniversity of PennsylvaniaUniversity of Notre DameUniversity of Massachusetts AmherstWilliams CollegeUniversity of Southern CaliforniaUniversity of California, San DiegoUniversity of TorontoYale University
KeywordsGeography

Abstract

fetched live from OpenAlex

2020-2021 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.

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)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.196
Threshold uncertainty score0.657

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0010.000
Scholarly communication0.0030.002
Open science0.0020.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.1960.239

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 head0.036
GPT teacher head0.255
Teacher spread0.219 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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 abstractyes

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