Small Islands and Islets: Laboratories or Key Sensors for Environmental Policies in the Mediterranean Basin?
Bibliographic record
Abstract
By building the PIM Initiative, the European and International Delegation of France’s Conservatoire du Littoral et des Rivages Lacustres (Coastal Protection Agency) aims to use small islands as laboratories to unite actors and build ambitious environmental policies in the western Mediterranean basin. This study examines the position of these small islands as a relevant model for conservation policies and actions. It is based on data collected during a two-year immersion in the PIM Initiative and uses several methodological and analytical tools. While working on the small islands of the Mediterranean basin, the PIM Initiative uses three main techniques: building a collective, gathering environmental data, and spreading a representation of these territories to wider publics. These techniques are analyzed using the framework of the circulatory system of scientific facts (Latour, 1999). This analysis highlights three preconceptions: (i) small islands group a limited number of actors, (ii) islands attract and facilitate consensus, and (iii) actions implemented on small islands can be replicated on larger islands and the mainland. The article concludes by discussing how the PIM Initiative is poised between considering small islands as laboratories which should become models for environmental policies, or as key sensors, specific territories which highlighted some broader features.
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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 | 0.002 | 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) | 0.000 | 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 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".