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Record W6950103468 · doi:10.5281/zenodo.5553857

EOSC-Pillar MS26: Communications Proof of Concept between NAKALA and HAL

2020· article· en· W6950103468 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2020
Typearticle
Languageen
FieldComputer Science
TopicResearch Data Management Practices
Canadian institutionsCanadian Council on Social DevelopmentHumber Polytechnic
FundersEuropean Commission
KeywordsUSableDeliverableWorkflowSet (abstract data type)PublicationProof of conceptProspectionMetadata

Abstract

fetched live from OpenAlex

This deliverable specifies the development of the proof of concept (POC) which will allow the linking of publications deposited in HAL (including its HAL-SHS portal), the French open archive developed by the CCSD, and data or datasets deposited in Nakala developed by Huma-num, the French research data repository for SSH data. It describes the workflow to be set up between the two repositories, the creation of the bidirectional relationship between publications and data, prospection for the implementation of tools to visualize these links in the two repositories, and finally how to expose these relationships and publish them, so that they are available, findable and usable by research communities (and by all citizens).

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)0.035
metaresearch head score (Gemma)0.046
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
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 score0.989
Threshold uncertainty score0.800

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0350.046
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0030.002
Science and technology studies0.0020.003
Scholarly communication0.0110.009
Open science0.0060.010
Research integrity0.0060.005
Insufficient payload (model declined to judge)0.2390.188

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 head0.140
GPT teacher head0.311
Teacher spread0.171 · 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
Published2020
Admission routes1
Has abstractyes

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