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Water and Health Adaptation Strategies: Overview and Outlook

2011· article· en· W2785984084 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

VenueGlobal Bioethics · 2011
Typearticle
Languageen
FieldNursing
TopicChild Nutrition and Water Access
Canadian institutionsMcMaster University
Fundersnot available
KeywordsSanitationMillennium Development GoalsPovertyNatural resource economicsAgricultureClimate changeBusinessEnvironmental planningPopulationWater supplyDevelopment economicsClean waterEconomic growthConsumption (sociology)EconomicsGeographyEnvironmental scienceEngineeringEnvironmental engineeringEnvironmental healthMedicineEcology

Abstract

fetched live from OpenAlex

Although much progress has been made toward the United Nations' Millennium Development Goals (MDGs) which have sought to reduce global poverty, the lack of access to clean water and improved sanitation, the desired MDG outcomes remain distant goals. Climate change and altered precipitation patterns, increasing population pressures resulting in growing consumption and demand for both industry and agriculture, and pollution of water sources, will place additional stresses on water quality and supply and further jeopardize attainment of MDGs. The following discussion highlights some of the issues and constraints to achieving safe water and sanitation by noting the complexity of the issue(s). It then briefly considers options for overcoming this complexity.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.221
Threshold uncertainty score0.370

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)0.0000.000

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 head0.196
GPT teacher head0.376
Teacher spread0.180 · 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