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Record W2150515727 · doi:10.1177/1527154411429198

Public Policy Analysis to Redress Urban Environmental Health Inequities

2011· article· en· W2150515727 on OpenAlex
Andrea Chircop

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

VenuePolicy Politics & Nursing Practice · 2011
Typearticle
Languageen
FieldHealth Professions
TopicFood Security and Health in Diverse Populations
Canadian institutionsDalhousie University
FundersHealth CanadaKillam TrustsDalhousie University
KeywordsRedressPublic policyPublic healthHealth policyPolicy analysisPolitical scienceContext (archaeology)PovertyEconomic growthSocial policySociologyHealth carePublic administrationGeographyEconomicsMedicine

Abstract

fetched live from OpenAlex

Public policies may not have been designed to disadvantage certain populations, but the effects of some policies create unintended health inequities. The nature of community health nurses' daily work provides a privileged position to witness the lived experiences and effects of policy-produced social and health inequities. This privileged position requires policy competence including analytical skills to connect lived experiences to public policy. The purpose of this article is to present an example of an urban ethnography that explicates inequity-producing effects of public policy and is intended to inform necessary policy changes. This study sheds light on how issues of childcare, housing, nutrition, and urban infrastructure in the context of poverty are fundamental to the larger issues of environmental health. This policy analysis documents how the Day Care Act of Nova Scotia, Canada explicates patriarchal and neoliberal gender and class assumptions that have implications for mothers' health decisions.

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)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.894
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0030.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.390
GPT teacher head0.523
Teacher spread0.133 · 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