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Record W2788447090 · doi:10.20381/ruor-14658

Canadian women and the welfare state in an age of globalization.

2002· dissertation· en· W2788447090 on OpenAlexaboutno aff
Fida. Abou-Nassif

Bibliographic record

VenueuO Research (University of Ottawa) · 2002
Typedissertation
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsWelfare stateGlobalizationState (computer science)WelfarePolitical scienceDevelopment economicsSociologyEconomicsLawComputer science

Abstract

fetched live from OpenAlex

Economic globalization and neo-liberalism have led to the restructuring of the labour market and the dismantling of the welfare state in Canada. The erosion of the Canadian welfare state and the changing labour market have had significant impacts on the lives of Canadian women, men and children. This thesis explores the gendered impacts of globalization and economic restructuring on Canadians in the labour market and the welfare state. We will demonstrate the existence of gender inequalities in the Canadian welfare state and assess the gendered effects of globalization on social citizenship rights in Canada. This thesis will review the Employment Insurance and the Canada Health and Social Transfer programs and will argue that women, in particular, have felt the adverse effects of cutbacks in these welfare state programs and that globalization has thus further intensified the inequalities between women and men. A feminist agenda of initiatives to counter the destructive effects of globalization and economic restructuring is explored.

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)0.002
metaresearch head score (Gemma)0.002
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: none
Teacher disagreement score0.118
Threshold uncertainty score0.856

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0380.017
Scholarly communication0.0110.003
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0090.000

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 head0.021
GPT teacher head0.274
Teacher spread0.252 · 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

Citations0
Published2002
Admission routes1
Has abstractyes

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