MétaCan
Menu
Back to cohort
Record W4298837183

Rethinking Existing Approaches to Water Security in Remote Communities: An Analysis of Two Drinking Water Systems in Nunatsiavut, Labrador, Canada

2013· article· en· W4298837183 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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueDigital Library Of The Commons Repository (Indiana University) · 2013
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsMemorial University of NewfoundlandRoyal Roads UniversityGovernment of Nunavut
FundersArcticNet
KeywordsWater securityEnvironmental planningSecurity systemWater resource managementEnvironmental resource managementGeographyComputer securityEnvironmental scienceComputer scienceWater resourcesEcology
DOInot available

Abstract

fetched live from OpenAlex

"This paper introduces an approach to understanding water security in remote communities that emphasises drinking water access, availability, quality, and preference, presenting exploratory findings from Rigolet and Nain, located within the Inuit Settlement Region of Nunatsiavut, eastern Subarctic Canada. Individual and household interviews numbering 121 and 13 key informant interviews were conducted in 2009 and 2010. Interview findings were analysed with results from participant observation, a review of municipal water system records and secondary sources. Results reveal restricted access to a sufficient quantity of desirable, clean, drinking water for some residents, despite the existence of municipal water systems in both communities. Drinking water sources available to residents include tap water, store-bought water and water gathered from running streams, lakes and ice melt. Drinking water preferences and risk perceptions indicate these sources are regarded as distinct by study participants. 81% of respondents prefer water gathered from the land over other alternatives and 22% primarily consume this source while in the community. These findings must be understood within the context of drinking water system attributes and the geographies of people and place characterising the region."

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.623
Threshold uncertainty score0.981

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.050
GPT teacher head0.237
Teacher spread0.187 · 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