Bibliographic record
Abstract
"Au début du millénaire, le gouvernement mexicain déclarait le pays en état d’alerte hydrique. En valeur absolue, le Mexique ne manque pas d’eau douce ; c’est son inégale répartition sur le territoire, la pollution de la ressource et le mauvais entretien des infrastructures d’assainissement et de distribution qui sont responsables de cette pénurie. Les auteures proposent de comprendre cette situation à travers l’influence que le contexte socio-économique du pays et son niveau de dépendance internationale a eu sur l’élaboration des politiques publiques et l’adoption des modes de gouvernance : traditionnellement considérée comme une chose commune, la gestion de l’eau fut longtemps confiée aux seules instances publiques chargées de veiller à l’intérêt général ; depuis quelques 10 ans, d’autres modes de gouvernance fondés sur la décentralisation administrative, la démocratisation décisionnelle, mais également la privatisation de la ressource, ont été impulsés par les organismes économiques internationaux."
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 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 | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".