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Record W6968986595 · doi:10.5281/zenodo.3515089

PARTHENOS D8.6 Final Communication Report

2019· article· en· W6968986595 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2019
Typearticle
Languageen
FieldComputer Science
TopicData Analysis with R
Canadian institutionsCanariePrairie Improvement Network
FundersEuropean Commission
KeywordsDeliverablePlan (archaeology)OutreachWork (physics)DisseminationCommunications system

Abstract

fetched live from OpenAlex

This deliverable presents the work of PARTHENOS Work Package (WP) 8 “Communication,dissemination and outreach” during the final year of the project (May 2018 – April 2019) and its half year extension (May – October 2019). The document builds on four earlier<br> deliverables; D8.2 Initial Communication Plan was produced in July 2015 and laid the foundation for our communication, dissemination and outreach strategy. While constantly adjusting our approach to the evolving project status, three updated versions to that document were produced: the first time in July 2016 – D8.3 First Year Communication Report, and Updated Communication Plan – the second time in July 2017 – D8.4 Second Year Communication Report, and Updated Communication Plan – and the third time in July 2018 – D8.5 Third Year Communication Report, and Updated Communication Plan. Whereas the Initial Communication Plan presented an overall dissemination and communication strategy, and provided a detailed plan of relevant activities for the project’s<br> first year, the First-, Second- and Third Year Communication Reports reflected on the implementation of the Initial Communication Plan during the project’s first, second and third twelve month periods, proposed minor corrections to the overall strategy, and set out our plans for each oncoming year. All PARTHENOS deliverables are available at: http://www.parthenos-project.eu/resources/projects-deliverables

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 distilled prediction

Teacher imitation

Not 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly 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: Empirical · Consensus signal: none
Teacher disagreement score0.925
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0030.003
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.029

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 head0.042
GPT teacher head0.256
Teacher spread0.213 · 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; both teacher heads agree on what is shown here.

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
Published2019
Admission routes1
Has abstractyes

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