Open Proposal ASSET: Mobility & Clustering Mechanism (Task, Budget & Impact KPI)
Bibliographic record
Abstract
This Open Proposal "asset" is published with a CC-BY license, and available for "off shelf" use in EU Proposals seeking to cluster concurrent HorizonEU projects, with similar research, stakeholders engagement, outreach and impact objectives. The "asset" includes copy-paste Task description, a budget that can be adapted to needs, as well as a mechanism for easy implementation as part of any WP WorkPackage on Coordination & Management contract. Full Testimonials by all Participating Fellows are curated on You Tube https://www.youtube.com/playlist?list=PLuaWAhFrworNfThhrQ8E4d9ewZfF-qBhw The Mobility Programme was implemented in support of the #AllAtlantic Ocean Research Alliance #AAORIA (Galway Statement, Belem Statement), will be added with time in follow-up versions of the document. The main success story of the Mission Atlantic Mobility programme is one of: OPTIMISE RESEARCH SYNERGIES at operational level between All Atlantic projects; CONTRACTUAL FLEXIBILITY in the latter half of a contract; AGILITY to react to unforseen challenges, and catch up on delays with external expertise; CAPACITY BUILDING North-to-South, as well as internally in the Consortium. TASK DESCRIPTION (off-shelf, copy-paste for any proposal): (see full Open Proposal MISSION ATLANTIC 10.5281/zenodo.4916510) Task Mobility Programme(insert under WP WorkPackage on Coordination & Management, as a separate task) This task supports synergies across concurrent Atlantic projects to: reduce stakeholder fatigue, coordinate ship of opportunity; enhance dissemination and exploitation activities; align science priorities. In coordination with the specific CSA (Coordination Support Action), the task lead will create maintain an All-Atlantic CLUSTER of implementing project managers (role and ToR detailed in attachment) made up of project beneficiaries, volunteer experts from relevant concurrent projects funded by HorizonEU CLUSTER2, 5, 6 (and open to USA, Canada and South Atlantic national funded projects with overlapping research priorities on #AllAtlantic Ecosystem-Based Management, and IEA Integrated Ecosystem Assessment). Additionally, the coordination team will engage concurrent projects Leads on Dissemination & Exploitation to join the project key Stakeholder Scoping Workshops, and the project's annual meetings to align DEP and exploitation strategies, and pool effort and resources to optimize achieving common Expected Impact on end-users of common interest. Partners involved in Shared Infrastructure consortia (list partners within transnational access to ships & research platforms) will assist in optimizing joint cooperation in field activities, common use of berth space, joint sampling activities and co-delivery of research deliverables (include relevant Letter of Support for credibility). Key Performance Indicator (KPI) suggested for the task is: number of fellows across concurrent project working on complimentary implementation; number of South-2-North fellow (i.e. capacity building), and/or number of fellows recruited by Consortium Partners (as proxy for excellence in selection & recruitment) MECHANICS of IMPLEMENTATION: A full example of the Call Text and Application Procedure is provided as implemented for 20+ fellows across 3 Calls in the MISSION ATLANTIC Project. BUDGET: Fully adaptable and scalable to needs of the project.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.014 | 0.048 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.011 | 0.010 |
| Open science | 0.004 | 0.011 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.669 | 0.506 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".