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Record W4285300958 · doi:10.33679/rfn.v1i1.2188

La gobernanza de los Grandes Lagos entre Canadá y Estados Unidos, ¿siempre de común acuerdo?

2022· article· en· W4285300958 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

VenueFrontera norte · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicMexican Socioeconomic and Environmental Dynamics
Canadian institutionsCentre de Géomatique du Québec
Fundersnot available
KeywordsGeopoliticsPolitical scienceCorporate governancePoliticsSovereigntyClimate changeWelfare economicsHumanitiesGeographyLawBusinessGeology

Abstract

fetched live from OpenAlex

Our objective is to analyze, from a geopolitical and legal point of view, the main challenges of water governance in the Great Lakes of North America. The analysis is based on an extended bibliographic search and a triangulation analysis of the corpus thus produced. The first part of the text identifies the concerns of riparian populations in recent years. The second presents the challenges of protecting the basin from climate change and political uncertainty. Overall, the text provides a better understanding of the construction of a transnational water governance model based on the community of interests, which seems to leave behind the old Harmon theory of absolute sovereignty. We will finally ask ourselves, if it will be necessary to attribute a new juridical status to this basin to protect these ecosystems from the challenges raised by climate change.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.511
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0140.000

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 head0.003
GPT teacher head0.194
Teacher spread0.191 · 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