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Record W2021493514 · doi:10.1504/ijgenvi.2015.067487

Sustainability in the trans-border regions? The case of Andalusia - Algarve

2015· article· en· W2021493514 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Global Environmental Issues · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicCross-Border Cooperation and Integration
Canadian institutionsToronto Metropolitan University
FundersInterregFundação para a Ciência e a Tecnologia
KeywordsTourismSustainabilityGeographyWork (physics)AgribusinessRegional sciencePortugueseSustainable developmentStatisticSustainable tourismEconomic geographyPolitical scienceStatistics

Abstract

fetched live from OpenAlex

The goal of this work is to detect the basic characteristics of the development of the southern border between Spain and Portugal.
\nThis trans-border area is described and analyzed 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.
\nThe 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.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.506
Threshold uncertainty score0.632

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.021
GPT teacher head0.411
Teacher spread0.390 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it