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Social Assistance in the Canadian Provinces

2025· book-chapter· en· W4408729402 on OpenAlexaffabout
Alain Noël

Bibliographic record

VenueOxford University Press eBooks · 2025
Typebook-chapter
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsGeography

Abstract

fetched live from OpenAlex

Abstract This chapter takes a comparative look at social assistance in the Canadian provinces. It confirms that Canadian provinces stand near the bottom of the OECD for the adequacy of welfare incomes. The analysis shows as well that the number of persons receiving social assistance has declined significantly over the years. Provincial governments, however, did not use the fiscal slack created by a lower number of cases to improve the incomes of those who remained. The adequacy of welfare incomes hardly improved in the 2000s. Behind these outcomes, there is a politics of provincial social assistance. In part, it is a politics of neglect, inherited from the old poor relief tradition. More importantly, the politics of social assistance programs appears to be a component of the broader politics of the welfare state. As predicted by the power resources theory, the lasting presence in government of parties of the left and the strength of the trade unions in a province are associated with more adequate incomes, and right-wing governments with less adequate incomes.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.114
Threshold uncertainty score0.825

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.008
Science and technology studies0.0090.002
Scholarly communication0.0030.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0190.001

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 head0.059
GPT teacher head0.318
Teacher spread0.259 · 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 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
Published2025
Admission routes2
Has abstractyes

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