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Record W2966712139 · doi:10.4324/9780203099940-16

Canada’s Three Ds: The rise and decline of the gender-based policy capacity

2007· book-chapter· en· W2966712139 on OpenAlexaboutno aff
Janine Brodie

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicGender Politics and Representation
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceDemographic economicsEconomics

Abstract

fetched live from OpenAlex

In 2005, Status of Women Canada (SWC), the principal agency responsible for gender-based policy analysis and advocacy within the federal government, launched a nation-wide consultation on gender equality in Canada. This stocktaking, the first since the mid-1980s, coincided with a number of significant milestones in the unfinished struggle for women’s equality in Canada. Thirty-five years had passed since the release of the agenda-setting Royal Commission on the Status of Women (Canada 1970) and it had been 30 years since Canada, along with other UN member states, declared 1975 as the International Year of Women (IYW), and the beginning of the UN Decade of Women. Moreover, it had been ten years since Canada had enthusiastically endorsed the 1995 Beijing Platform for Action, which invited governments to mainstream gender into the development and implementation of all policy initiatives. Although gender equality had been on the federal government’s legislative agenda for more than three decades, SWC reported that progress toward this goal was uneven and, in some cases, reversing. Just as disconcerting, SWC observed, was a growing perception, especially among women’s organizations, that Canada’s governments were not taking ‘its commitments to women seriously’ while many other Canadians had the false impression that ‘gender equality had been achieved’ (2005: 1). The Canadian experience, it would appear, parallels the Australian case, where Anne Summers, a former head of the Australian Office of the Status of Women, recently lamented ‘we have come to the end of equality’ (Summers 2003: 6).

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.780
Threshold uncertainty score0.614

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.112
GPT teacher head0.323
Teacher spread0.212 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations6
Published2007
Admission routes1
Has abstractyes

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