Aguas subterráneas transfronterizas y fracking: invisibilidad y fragmentación en el contexto de la integración energética de América del Norte
Bibliographic record
Abstract
In the energy integration process of North America, the United States is promoting the geographical expansion of fracking to extract shale gas towards Canada and Mexico, taking advantage of the transboundary shale plays. Although transboundary groundwater could be a strategic input for such a process, it is often viewed as a strictly technical matter. This work analyzes from the hydrosocial cycle approach, the data set related to three key components that are indexed in the use of shale gas: transboundary shale play (as hydrocarbon reservoirs), fracking (as an extractive method) and transboundary aquifers (as a water “reservoir”). The findings refer to different levels of knowledge, a fragmented spatial understanding of the fracking phenomenon persists, as a regional and transboundary scalar problem that articulates several knowledge and stakeholders in order to protect and conserve groundwater.
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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 | 0.002 | 0.006 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".