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Record W4286949976 · doi:10.5281/zenodo.5948735

D9.1: Specifications and guidelines for Western Demos

2021· report· en· W4286949976 on OpenAlexaff
Leandro Lind, José Pablo Chaves Ávila, Aleth Barlier, José Miguel Cruz, Miguel Louro, Ricardo Prata, Carlos Silva, Beatriz Alonso Santos, David Martin Utrilla, Alexandre Lucas, José Villar, Gonçalo Glória, João Saragoça, Sergio Delgado, Miguel Ángel Sánchez Bodas, Celia Vidal Silvestre, Rui Pestana, Romain Losseau, Santiago Falcón de Andrés

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2021
Typereport
Languageen
FieldSocial Sciences
TopicHuman Rights and Development
Canadian institutionsNetwork for Business Sustainability
FundersEuropean Commission
KeywordsComputer science

Abstract

fetched live from OpenAlex

This deliverable provides guidance for harmonization of the Western Demos, identifies common principles and proposes recommendations for the specifications of the three demo countries.

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)0.028
metaresearch head score (Gemma)0.043
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 score0.040
Threshold uncertainty score0.149

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0280.043
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0080.007
Science and technology studies0.0020.003
Scholarly communication0.0110.007
Open science0.0060.006
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0400.046

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 head0.336
GPT teacher head0.389
Teacher spread0.053 · 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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