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Record W3203236587 · doi:10.18584/iipj.2021.12.3.9342

"Is Water a Human Right?": Priming Water as a Human Right Increases Support for Government Action

2021· article· en· W3203236587 on OpenAlexafffundvenueabout
Katherine B. Starzyk, Katelin H. S. Neufeld, Danielle Gaucher, Jacquie D. Vorauer, Aleah S. M. Fontaine, Matthew Quesnel, Alexa R. Yakubovich

Bibliographic record

VenueInternational Indigenous Policy Journal · 2021
Typearticle
Languageen
FieldPsychology
TopicOptimism, Hope, and Well-being
Canadian institutionsUniversity of TorontoSt. Michael's HospitalUniversity of Manitoba
FundersBrock University
KeywordsIndigenousFraming (construction)Human rightsGeneral partnershipPolitical scienceGovernment (linguistics)Public relationsPublic administrationLawGeographyEcology

Abstract

fetched live from OpenAlex

Many First Nations homes in Canada do not have adequate water services. This issue is unlikely to be resolved without public pressure on the government. Thus, we investigated one strategy to increase non-Indigenous Canadians’ support for government action: framing water as a human right. Informed by a partnership with Indigenous community members and multidisciplinary collaborators, we conducted seven experiments that sampled non-Indigenous Canadian community members (N = 584) and university undergraduates (N = 274). Overall, framing water as a human right increased public support, relative to control conditions. Further, the human rights frame indirectly increased support for government action through increases in perceived suffering (physical and financial) and empathy. We discuss policy implications and end with a call for action.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.240
Threshold uncertainty score0.478

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.004
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.033
GPT teacher head0.383
Teacher spread0.350 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations3
Published2021
Admission routes4
Has abstractyes

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