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Record W122622970

Beyond Physical: Social Dimensions of the Water Crisis on Canada’s First Nations and Considerations for Governance

2013· article· en· W122622970 on OpenAlexaffabout
Maya Basdeo, Lalita Bharadwaj

Bibliographic record

VenueIndigenous policy · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsAcknowledgementPoliticsContext (archaeology)Government (linguistics)Political scienceCorporate governanceDevelopment economicsEconomic growthPolitical economySociologyBusinessGeographyLawEconomics
DOInot available

Abstract

fetched live from OpenAlex

The provision of safe drinking water is one of the most pressing health issues facing First Nations communities in Canada. Despite numerous government assessments, training initiatives, and billions of dollars in targeted funding, access to safe drinking water continues to be a perennial problem in communities nationwide. The water crisis in these communities, characterized by poor access to safe, sustainable, and reliable drinking water sources, is greater than that perceived by the alarming incidence reports of physical illness, waterborne infections and boil water advisories. A host of issues related to inequity, justice, and institutional trends are reflective of, and contribute to, an erosion of the social, cultural and spiritual health of First Nations in Canada. We seek to provide an overview of the social dimensions of the water crisis. By situating the issues in this broader context, we hope to provide the basis for greater dialogue and depth of study into the socio-cultural implications of the water crisis. If tenable solutions to the myriad of water issues affecting First Nations people in Canada are to be realized, an acknowledgement and understanding of the historical, cultural, social, political, economic and legal framework that have steered our arrival at the current situation must be considered.

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 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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.881
Threshold uncertainty score0.985

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 studies0.0180.000
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 head0.013
GPT teacher head0.286
Teacher spread0.273 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations35
Published2013
Admission routes2
Has abstractyes

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