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Record W2118099037 · doi:10.1093/sp/jxh031

Shifting Representations of Citizenship: Canadian Politics of "Women" and "Children"

2004· article· en· W2118099037 on OpenAlexaboutno aff
Alexandra Dobrowolsky

Bibliographic record

VenueSocial Politics International Studies in Gender State & Society · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsCitizenshipPoliticsRepresentation (politics)State (computer science)PragmatismGender studiesSociologyPolitical scienceLawEpistemologyPhilosophy

Abstract

fetched live from OpenAlex

This article offers an analytical framework for understanding changing citizenship regimes and illustrates how recent shifts in citizenship discourses and practices have affected women in Canada. It reviews contemporary Canadian history and traces changing processes whereby representations involving women, their rights and needs, have been sidelined and replaced by those of children. It concentrates on one issue that provides a cornerstone for many women's full citizenship, economic autonomy, and well-being: that of child care. We track what has happened to this concern, along with women's claims for gender equality and recognition as child poverty becomes a major preoccupation and investing in children becomes a top priority. With the move away from a space for women's voices toward representations of the child, especially the poor child, we show how the current citizenship regime has effectively struck women's full citizenship from the political agenda.

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)0.005
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.217
Threshold uncertainty score0.908

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.008
Science and technology studies0.0600.036
Scholarly communication0.0180.005
Open science0.0020.007
Research integrity0.0040.009
Insufficient payload (model declined to judge)0.0130.000

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 head0.051
GPT teacher head0.344
Teacher spread0.293 · 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 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

Citations111
Published2004
Admission routes1
Has abstractyes

Explore more

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