Comment valoriser les pratiques trufficoles au regard des enjeux environnementaux quercynois ? Propositions de pistes expérimentales, d'outils de gestion mobilisables, d'actions à conduire et de territoires d'études
Bibliographic record
Abstract
This study was realized on the 'Causses du Quercy' regional nature park. It proposes some solutions to support black truffle cultivation activities which seem to be the more interesting regarding the environmental stakes of this territory. Truffle sylviculture is one of these activities engaged to open bushy landscapes. Tis particular kind of forestry isn't well developed in South West of France. That is why some technical experiments and developing actions are proposed. This report exposes what could people do and which management tool they could use to enhance the development of these truffle activities. The study ended with a multi-criteria analysis which localizes the territories where the different proposals could be developed. / Cette étude, réalisé sur le territoire du Parc naturel régional des Causses du Quercy, émet un certain nombre de propositions pour le soutien des pratiques trufficoles qui apparaissent les plus valorisables au regard des enjeux environnementaux du territoire : les pratiques qui contribuent à la réouverture des milieux fermés. Principalement concernées mais actuellement peu développées, les techniques de sylviculture truffière font alors l'objet de propositions expérimentales et de développement (mobilisation d'outils de gestion, actions à conduire par les acteurs du territoire). L'étude se clôt par une analyse multicritère qui détermine les territoires les plus appropriés pour mettre en place ces suggestions.
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 | 0.011 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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".