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Record W2586653011

La gestion de l’eau au Mexique

2009· article· fr· W2586653011 on OpenAlex
Louise Rolland, Yenny Vega Cárdenas

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

VenuePapyrus : Institutional Repository (Université de Montréal) · 2009
Typearticle
Languagefr
FieldEnvironmental Science
TopicMexican Socioeconomic and Environmental Dynamics
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsPolitical scienceHumanitiesArt
DOInot available

Abstract

fetched live from OpenAlex

"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.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.442
Threshold uncertainty score1.000

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 studies0.0030.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.004
GPT teacher head0.155
Teacher spread0.152 · 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