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Record W1516247295 · doi:10.3138/jcs.40.3.186

Ideology, Policy, and Economy: Liberal, New Democratic and Conservative Reforms of Ontario’s Welfare Program

2006· article· en· W1516247295 on OpenAlexvenueaboutno aff
Thomas R. Klassen, Daniel D. Buchanan

Bibliographic record

VenueJournal of Canadian Studies · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsnot available
Fundersnot available
KeywordsIdeologyWelfarePoliticsPolitical economyDemocracyWelfare reformEconomicsGovernment (linguistics)New DealWelfare statePower (physics)Coalition governmentPolitical scienceMarket economyLaw

Abstract

fetched live from OpenAlex

From 1985 to 2000, in an unprecedented development in Canadian politics, three different parties governed the province of Ontario, each for a five-year period. Each party sought to reform the province’s welfare program in keeping with its ideological position. The authors demonstrate the manner in which welfare policies interacted with prevailing economic and labour market conditions to create dramatic fluctuations in the number of welfare recipients. The analysis shows that governing parties generally sought to match policies to economic conditions, but were often unable to do so because of their ideological stance or because of policies inherited from the previous government. The authors’ findings also reveal that it was in fact the New Democratic Party, after 1992, that initiated a restrictive policy of welfare benefits and eligibility, a policy direction continued by the Progressive Conservative Party once it assumed power in 1995.

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)0.003
metaresearch head score (Gemma)0.005
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.865
Threshold uncertainty score0.982

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0150.008
Scholarly communication0.0050.001
Open science0.0010.002
Research integrity0.0010.002
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 head0.026
GPT teacher head0.306
Teacher spread0.280 · 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
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

Citations12
Published2006
Admission routes2
Has abstractyes

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