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Record W2569885247 · doi:10.1177/0844562116684729

Ontario’s Poverty Reduction Strategy

2016· article· en· W2569885247 on OpenAlexaffvenueabout
Sarah Benbow, Carolyne Gorlick, Cheryl Forchuk, Catherine Ward‐Griffin, Hélène Berman

Bibliographic record

VenueCanadian Journal of Nursing Research · 2016
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsThe King's UniversityWestern UniversityFanshawe College
Fundersnot available
KeywordsPovertyScholarshipCulture of povertySocial exclusionGovernment (linguistics)Poverty reductionEconomic growthPolitical scienceSocial policyPublic economicsSociologyDevelopment economicsBasic needsEconomics

Abstract

fetched live from OpenAlex

This article overviews the second phase of a two-phase study which examined experiences of health and social exclusion among mothers experiencing homelessness in Ontario, Canada. A critical discourse analysis was employed to analyze the policy document, Realizing Our Potential: Ontario's Poverty Reduction Strategy, 2014-2019. In nursing, analysis of policy is an emerging form of scholarship, one that draws attention to the macro levels influencing health and health promotion, such as the social determinants of health, and the policies that impact them. The clear neo-liberal underpinnings, within the strategy, with a focus on productivity and labor market participation leave little room for an understanding of poverty reduction from a human rights perspective. Further, gender-neutrality rendered the poverty experienced by women, and mothers, invisible. Notably, there were a lack of deadlines, target dates, and thorough action and evaluation plans. Such absence troubles whether poverty reduction is truly a priority for the government, and society as a whole.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.649
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.282
GPT teacher head0.528
Teacher spread0.245 · 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 designOther design
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

Citations16
Published2016
Admission routes3
Has abstractyes

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