Thematic Section: Sustainable development and environmental conservation in the Outermost European Regions
Bibliographic record
Abstract
The Outermost European Regions (OERs) are geographic areas which are part of a European Union Member State, but situated outside continental Europe. All OERs except French Guiana are islands or archipelagos. They face several challenges to full development – remoteness, insularity, terrain and climate constraints, economic dependence and a narrow range of exportable commodities or services. Nevertheless, the European Commission advocates for these regions the assumption of a new paradigm: turning their natural and socioeconomic handicaps into assets. This strategy makes the sustainable development and environmental conservation strategies and policies of OERs especially challenging in scientific, technical and political terms. This Island Studies Journal special section on Sustainable Development and Environmental Conservation in the Outermost European Regions includes five articles that describe, analyse and address directly social-ecological systems’ issues in insular Portuguese and Spanish OERs (Azores and Canaries, respectively). These studies propose novel concepts, strategies and models aiming towards designing and implementing better and more cost-effective sustainability and environmental conservation policies in these remote European regions.
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 | 0.002 | 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 | 0.000 |
| 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".