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Record W4410473369 · doi:10.1080/08865655.2025.2504883

Interwoven Histories Along Water Roads and Liquid Borders: The Guadiana and Uruguay/La Plata Rivers as Case-Studies

2025· article· en· W4410473369 on OpenAlexvenueno aff
Pedro Henrique Melo Albuquerque, Francisco José García Fernández

Bibliographic record

VenueJournal of Borderlands Studies · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Cultures and History
Canadian institutionsnot available
FundersJunta de AndalucíaUniversidad de Sevilla
KeywordsLiquid waterGeographyEconomic geographyWater resource managementEnvironmental scienceGeologyEarth science

Abstract

fetched live from OpenAlex

This paper provides an insight into the study of Portuguese-Spanish and Brazilian-Uruguayan-Argentinian borders, namely those administrative territories separated by respectively, the Guadiana and Uruguay/ La Plata Rivers from the perspective of Global History and Cultural Heritage studies. Borders are examined as geographic areas where connections and hybridisations occur and where shared territories are used to construct interwoven histories. This research is also focused on the way Iberian bordering processes became global in the Modern Era. Temporal and spatial scales are also considered in order to provide different interpretations of Iberian borderlands by proposing a periphery-based analysis of bordering processes, their cultural and social consequences, and the way all of these phaenomena can be reflected on tangible and intangible heritage.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.309
Threshold uncertainty score0.615

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0090.006
Scholarly communication0.0030.001
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.019
GPT teacher head0.330
Teacher spread0.311 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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