Quelle multifonctionnalité des transhumances urbaines de brebis ?
Bibliographic record
Abstract
Les transhumances d’animaux ovins et/ou bovins ont permis à leurs éleveurs de les nourrir à moindres frais : ce sont des pâtures naturelles collectives dont sont propriétaires les collectivités territoriales. Regroupées en Syndicats de vallée, elles offrent aux éleveurs de leur juridiction le privilège de les utiliser gracieusement. En France, les transhumances de brebis concernaient majoritairement la plaine de la Crau et le Pays Basque. Ces transhumances qui perdurent ont, depuis le début des années 2010, vu naître d’autres formes de transhumances, mêlant projets sociaux et projets médiatiques. Des transhumances plus urbaines et de plus en plus festives. Comment s’est opérée cette mutation ? Quels en ont été les porteurs ? Comment les transhumances sont-elles devenues multifonctionnelles ?
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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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; both teacher heads agree on what is shown here.
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".