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Record W7165897386 · doi:10.5281/zenodo.20842351

Deliverable D6.2 – First Dissemination and Communication Report

2024· article· en· W7165897386 on OpenAlexaff
Franziska Drews-von Ruckteschell, Agnese Cosulich, Mariana Mata Lara, Ivana Stojanovic, Sarah Haberl, Caitie Wagenknecht

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicCoastal and Marine Management
Canadian institutionsInternational Submarine Engineering (Canada)
Fundersnot available
KeywordsDeliverableKey (lock)Work (physics)DisseminationBest practiceKnowledge sharing

Abstract

fetched live from OpenAlex

The First Dissemination and Communication Report for the Blue4All project (Deliverable D6.2) provides a comprehensive overview of the progress achieved in raising awareness, fostering engagement, and sharing project outcomes during the first 23 months of the project under Work Package 6 (WP6). This report highlights the implementation of communication tools, events, and platforms to maximize impact. It also introduces key initiatives such as the MPA Community Network and the Networking Platform on BlueBioMatch, which aim to support collaboration and knowledge exchange among Marine Protected Area (MPA) managers and stakeholders. Reflections on challenges, updated Key Performance Indicators (KPIs), and plans for future improvements are also included.

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)0.029
metaresearch head score (Gemma)0.068
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.304
Threshold uncertainty score0.993

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0290.068
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0020.001
Scholarly communication0.0090.006
Open science0.0030.008
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.3040.318

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 head0.013
GPT teacher head0.226
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

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
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueZenodo (CERN European Organization for Nuclear Research)→Same topicCoastal and Marine Management→French-language works237,207→