Sustainability in the trans-border regions? The case of Andalusia - Algarve
Bibliographic record
Abstract
The goal of this work is to detect the basic characteristics of the development of the southern border between Spain and Portugal. This trans–border area is described and analysed comparing the region of Algarve, in Portugal and the region of the County, in Huelva, Spain. The method used 15 quantitative indicators, desegregated at municipal level, obtained from different official sources and applied to 30 municipalities. The analysis includes multivariate statistic methods. The conclusions show that those indicators related to national governance systems are of utmost importance in the cluster classification. Furthermore, those municipalities with higher development levels are also less sustainable from the environmental point of view - this is probably due to the fact that tourism supports the fragile socio–economic systems in many of such regions. Significantly, the clustering tendencies show that the Portuguese municipalities are tourism oriented (or less tourism oriented) and the Spanish ones are agri–business (or less agribusiness oriented). Lastly, such geographic structures seem to have its roots in long term paths of development.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".