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Record W137479181 · doi:10.1515/9781685859022-012

10 Poverty and Human Development

2007· editorial· en· W137479181 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueLynne Rienner Publishers eBooks · 2007
Typeeditorial
Languageen
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsPovertyPsychologyMedicinePolitical science

Abstract

fetched live from OpenAlex

It is hard for us as nurses to escape the important role played by poverty and human development.While this issue encompasses so much of our work, paradoxically we often render it invisible in our practice and our research.A defining moment for me occurred when I was working in a psychiatric setting and the government introduced a policy of copayment for medications taken by recipients of public assistance. I recall the rhetoric of the time:“It’s only $2 per prescription. It will barely make a difference.” One consumer of mental health services came to me with his bank book and detailed budgeting sheets.He had managed to balance his budget by cutting back to two meals a day. He was taking several medications, so the new policy was going to stretch his $800-a-month disability income to the limit. He already had no discretionary income and had given up his phone. He had identified two alternatives and wanted input on which was the healthier choice: to cut down to one meal a day, or to start taking his medications every other day. Inadequate social assistance, disability payments, and minimum wages across Canada still keep many of our vulnerable citizens in poverty and force them to make difficult choices. In Ontario currently, a single person receiving provincial disability support gets $1,020 per month and a single person receiving welfare benefits gets $572. It is difficult to pay for rent, utilities, transportation, clothing, and food with these levels of support. I have researched issues related to income support, adequate housing, and homelessness, since the people I work for are struggling with these issues (Forchuk et al., 2007; Forchuk,Ward-Griffin, Csiernik, &Turner, 2006). This issue of CJNR addresses the complex subject of poverty and human development.This topic has been addressed previously by the Journal, in response to a call by the Council of Science Editors for all journal editors to publish a special issue on poverty and human development last autumn. This focus was in support of the Millennium Development Goals set by the United Nations to reduce extreme poverty by the year 2015.The October 2008 issue of CJNR included several short reports exemplifying the contributions of Canadian nurses CJNR 2009,Vol. 41 No 2, 3–5

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.141
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.017
GPT teacher head0.291
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