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Record W42431784 · doi:10.4000/eps.5824

Vivre avec la pénurie d’eau à Recife

2014· article· fr· W42431784 on OpenAlex
Paul Cary, Armelle Jacquemot, Tadeu Giglio, Ana Maria Silva de Melo

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

VenueEspace populations sociétés · 2014
Typearticle
Languagefr
FieldSocial Sciences
TopicWater Governance and Infrastructure
Canadian institutionsHotel Dieu Hospital
FundersAgence Nationale de la Recherche
KeywordsPolitical scienceHumanitiesEconomic shortageArtPhilosophy

Abstract

fetched live from OpenAlex

L’article rend compte des multiples stratégies adoptées par des populations de différentes catégories sociales à Recife, capitale du Pernambuco (Brésil), pour faire face à l’insuffisance et à l’irrégularité de l’approvisionnement en eau par le réseau public. Il repose sur une approche mêlant observation ethnographique des pratiques quotidiennes liées à l’eau et entretiens avec des gestionnaires de la ressource. Il décrit d’abord le vécu des habitants, notamment les plus pauvres, face à la peur de manquer d’eau. Après avoir souligné que cette situation fait l’objet d’un déni de la part des autorités, il avance deux hypothèses d’explication de ce dernier : d’une part, une quantophrénie qui imprègne l’action publique ; d’autre part, des logiques politiques et institutionnelles qui fragmentent le secteur de l’eau et l’assainissement.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.678
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.048
GPT teacher head0.373
Teacher spread0.325 · 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