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Record W2793929682

A brave new citizenry: exploring Canadian welfare state retrenchment through changing citizenship

2015· dissertation· en· W2793929682 on OpenAlexaboutno aff
Matthew D. Sanscartier

Bibliographic record

VenueMspace (University of Manitoba) · 2015
Typedissertation
Languageen
FieldSocial Sciences
TopicSocial Policy and Reform Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCitizenshipRetrenchmentWelfare statePolitical scienceState (computer science)WelfarePolitical economyPublic administrationSociologyMedia studiesLawPolitics
DOInot available

Abstract

fetched live from OpenAlex

In the early 1970s, the Canadian welfare state began a radical transformation in which Canadians were left with a weaker social safety net in the areas of income supports, social services, and social legislation, a transformation that Canadians are coping with today. This thesis is an investigation of the extent to which Canadians found this transformation in their welfare state desirable. Using the Canadian Election Study from 1965 to 2011, I demonstrate that Canadians underwent an ideological shift within this time frame in which “being Canadian” has acquired connotations of self-reliance through work and the market, a phenomenon I refer to as the individuation of the Canadian citizenry. I conclude that while Canadians may have undergone significant individuation from the 1970s to the present, Canadians are still considerably collective with respect to more inclusive social policy areas such as healthcare and education.

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), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.445
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.077
GPT teacher head0.281
Teacher spread0.204 · 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 designQualitative
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

Citations2
Published2015
Admission routes1
Has abstractyes

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