Rural Renovation in les Landes, South West France : A French Regional Development Experiment
Bibliographic record
Abstract
Regional planning is an important item of government policy in France, and the rural land management of the Landes in the Aquitaine region offers a good example. The factors which instigated this planning operation were the constant rate of decrease in the areas under forest and of agricultural land, the decline in economic activity in an area where the natural environment is not very favourable and the exodus of the population. Numerous measures have been taken to improve the level of the economy in this region. In 1965, la Compagnie d'aménagement des Landes de Gascogne was established; its main objective is to protect the forest from destruction by creating enclaves of subsistence agriculture, which serve as fire breaks and at the same time reactivate the economy. La Compagnie d'aménagement des Landes de Gascogne aims there fore at stabilizing the region once again by setting up new activities. The arable land has been re-divided and transport, drainage and irrigation equipment, capable of attracting labour, is being installed. The planning organization has partially attained the goals that were set. The area of forest devastated by fire has been reduced more and more, and agricultural returns are higher. On a long term basis, the application of this plan of land management in the rural areas of Aquitaine is proving a success.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".