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Record W7052536582

Recipient health in response to welfare reform, Ontario 1994-1999

2009· other· en· W7052536582 on OpenAlexaboutno aff

Bibliographic record

VenueOpenGrey (Institut de l'Information Scientifique et Technique) · 2009
Typeother
Languageen
FieldEngineering
TopicElectromagnetic Compatibility and Measurements
Canadian institutionsnot available
Fundersnot available
KeywordsWelfarePopulationRetrenchmentWelfare stateWelfare reformSocial policyRedressCredence
DOInot available

Abstract

fetched live from OpenAlex

Increasing attention is being paid to the common ground uniting income inequalities and health status by gauging how societal structures influence population health. Yet within this nascent literature, more work must be done to study the association between welfare policy and recipient health. To redress this lacuna, the introduction of the welfare reform initiative ‘Ontario Works’ in 1995 offered an apposite before-and-after scenario to gauge how neoliberal ideology affected welfare policy in Ontario. In turn, welfare benefit declines permitted an assessment of the effect that welfare state retrenchment had on recipient health. To achieve this end, Ontarians responding to the National Population Health Survey in 1994-1995 and 1998-1999 were assessed on self-reported health measures to determine whether diminishing welfare benefits predicted health declines. From the results it emerges that long-term welfare recipients reported significant health declines over the study interval, declines that proved particularly noteworthy given that the health status of welfare recipients was initially superior to that of the provincial sample. These findings may lend further credence to the assertion of welfare state apologists that state intervention ameliorates the health effects of wider neoliberal directives.

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.258
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.018
GPT teacher head0.260
Teacher spread0.242 · 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
GenreOther

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

Citations0
Published2009
Admission routes1
Has abstractyes

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