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Record W4385869085 · doi:10.59962/9780774851329

From UI to EI

2007· book· kn· W4385869085 on OpenAlexaboutno aff
Georges Campeau, Richard A. Howard

Bibliographic record

VenueUniversity of British Columbia Press eBooks · 2007
Typebook
Languagekn
FieldSocial Sciences
TopicMultimedia Communication and Technology
Canadian institutionsnot available
Fundersnot available
KeywordsGeography

Abstract

fetched live from OpenAlex

Established in 1940 in response to the Great Depression, the original goal of Canada’s system of unemployment insurance was to ensure the protection of income to the unemployed. Joblessness was viewed as a social problem and the jobless as its unfortunate victims. If governments could not create the right conditions for full employment, they were obligated to compensate people who could not find work. While unemployment insurance expanded over several decades to the benefit of the rights of the unemployed, the mid-1970s saw the first stirrings of a counterattack as the federal government’s Keynesian strategy came under siege. Neo-liberalists denounced unemployment insurance and other aspects of the welfare state as inflationary and unproductive. Employment was increasingly thought to be a personal responsibility and the handling of the unemployed was to reflect a free-market approach. This regressive movement culminated in the 1990s counter-reforms, heralding a major policy shift. The number of unemployed with access to benefits was halved during that time. From UI to EI examines the history of Canada’s unemployment insurance system and the rights it grants to the unemployed. The development of the system, its legislation, and related jurisprudence are viewed through a historical perspective that accounts for the social, political, and economic context. Campeau critically examines the system with emphasis upon its more recent transformations. This book will interest professors and students of law, political science, and social work, and anyone concerned about the right of the unemployed to adequate protection.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.492
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0030.001
Research integrity0.0010.001
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 head0.241
Teacher spread0.215 · 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
Published2007
Admission routes1
Has abstractyes

Explore more

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