TransformDairyNet- Press release #2; Uniting Europe for Sustainable Dairy Innovation in Thessaloniki
Bibliographic record
Abstract
Following its successful launch in 2024, the TransformDairyNet (TDN) project reached another milestone in May 2025with its first in-person General Assembly and European Knowledge and Innovation Network (EKIN) meeting. Heldin Thessaloniki, Greece from 21–23 May, this gathering marked one year of collaborative work to transform dairy farmingthrough support of the wider adoption of Cow-Calf Contact (CCC) systems across Europe.Nearly 60 in-person participants and 57 online attendees from 14 countries came together to assess progress, shareknowledge, and inspire one another in the drive toward more sustainable, ethical, and economically viable dairypractices. In the coming months, TDN will continue to collect insights on best practices for Cow-Calf Contact (CCC)systems. The stakeholder survey is now open and will remain available until the end of October
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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 | 0.007 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.089 | 0.027 |
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".