MétaCan
Menu
Back to cohort
Record W1724251324 · doi:10.18740/s47302

The Politics of Public Sector Wages: Ontario’s Social Dialogue for Austerity

2011· article· fr· W1724251324 on OpenAlexaffvenueabout
Bryan Evans

Bibliographic record

VenueSocialist studies · 2011
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsAusterityPublic sectorPolitical sciencePoliticsHumanitiesWelfare economicsSociologyEconomicsArtLaw

Abstract

fetched live from OpenAlex

The economic crisis has revealed the extent to which sustaining the key tenets of the ‘Common Sense Revolution’, implemented by the Conservative government of Premier Mike Harris, have eroded the fiscal capacity of Ontario. The proposal to freeze public sector wages and the ensuing consultation with public sector unions and employers in the spring/summer of 2010 signal Ontario is about to return to the rollback neoliberalism that dominated the 1990s. The difference between now and then is the more defensive posture of organized labour and the limited capacities that exist to resist such an assault. La crise économique a révélé l’étendue avec laquelle le maintien des principaux principes du ‘Common Sense Révolution’, introduits par le gouvernement conservateur du Premier Mike Harris, a érodé la capacité fiscale de l’Ontario. La proposition de geler les salaires de la fonction publique et la consultation qui s’ensuivit avec les syndicats et les employeurs du secteur public au cours du printemps et de l’été de 2010 indiquent que l’Ontario est sur le point de retourner au néolibéralisme qui dominait les années 1990. La différence entre aujourd’hui et hier est la position plus défensive du mouvement syndical et les capacités limitées qui existent pour s’opposer à une telle attaque.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.185
Threshold uncertainty score0.946

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0430.018
Scholarly communication0.0090.003
Open science0.0020.005
Research integrity0.0060.006
Insufficient payload (model declined to judge)0.0100.001

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 head0.349
GPT teacher head0.383
Teacher spread0.033 · 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 designObservational
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

Citations4
Published2011
Admission routes3
Has abstractyes

Explore more

Same venueSocialist studiesSame topicSocial Sciences and GovernanceFrench-language works237,207