Bibliographic record
Abstract
L’émergence du paysage dans le débat public est la traduction d’une préoccupation sur les modes d’occupation de l’espace par l’expansion des villes, le pullulement des infrastructures et les mutations des mondes rural et urbain. Elle est aussi le témoin de la valeur économique de la diversité des paysages pour de nombreux secteurs économiques. De part les arbitrages économiques qu’impliquent les différents modèles d’aménagement et d’occupation de l’espace, la discipline économique se trouve naturellement sollicitée. En outre, la demande d’une plus grande qualité paysagère qu’expriment les individus et les organisations, interpelle l’économiste sur la nature de la valeur économique des paysages. Cet article s’interroge sur les diverses dimensions économiques du paysage et montre comment la discipline économique a mobilisé des domaines variés pour pouvoir éclairer efficacement la décision et l’action collectives.
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 | 0.001 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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".