Bibliographic record
Abstract
The WAAP was established in 1965 after the success of the 1st World Conference on Animal Production held in Rome in 1963 organised by EAAP under the patronage of FAO.WAAP aims to encourage closer collaboration between the animal production organisations and to bring together scientists, educators, technicians and administrators with the objective of reviewing development concerns on the five continents.WAAP organises every five years a World Conference on Animal Production.The last World Conference took place in Vancouver, Canada July 2018.The next will be held in Lyon, France from 27th August to 1st September 2023.The conference is co-organized by EAAP and WAAP.The Lyon meeting will be organized as hybrid conference.The conference title is: Climate change, biodiversity and global sustainability of animal production.The conference will start with a specific "WAAP-day", on Sunday August 27th, organized around two main sessions.The first one, in the morning, is dedicated to the "Control of Green House Gas emissions in Ruminant farming", the second one, in the afternoon, is dedicated to "Biodiversity as a lever for sustainable animal production" and deals, with the second most important item for Humanity and for the future of livestock systems to provide animal products to human beings.The two sessions will be live-streamed so that everybody not in person at the meetings can follow them remotely.After this first day, WAAP organized from Monday August 28 morning to Thursday August 31 evening, 16 joint sessions between WAAP and EAAP; eight of them (one every half day) will be live-streamed.The plenary session on Tuesday 29 August morning will be a joint EAAP-WAAP session and will be dedicated to "Primum non nocere: Can we feed the planet without depleting its resources?"with 3 major presentations of top-scientists and two presentations by the Leroy-EAAP (Prof J. Soelkner) and WAAP (Dr F Dunshea) awardees.Additionally, there will be posters displayed on stand with two poster sessions and posters will remain displayed for 2 out of 4 days to facilitate viewing.There will be a WAAP award presented for the best oral communication and a prize for the best poster.Applications are open for the Young Scientists Award!Finally, an exceptional social program is also in preparation with a dozen of technical tours already submitted.You can browse the specific meeting website (www.eaap2023.org)as well as the WAAP and EAAP Newsletters for developing meeting information.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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 teacher head, 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".