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Record W2608234615 · doi:10.1111/gwao.12182

Bureaucratic Role Perceptions and Gender Mainstreaming in Canada

2017· article· en· W2608234615 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueGender Work and Organization · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicGender Politics and Representation
Canadian institutionsConcordia University
Fundersnot available
KeywordsGender mainstreamingBureaucracyMainstreamingPolitical sciencePoliticsMeaning (existential)PerceptionPublic administrationGender studiesSociologyGender equalityPsychologyLaw

Abstract

fetched live from OpenAlex

Since the mid‐1990s, governments have adopted gender mainstreaming (GM) as a strategy for achieving gender equality and improving women's social, economic and political conditions. Yet, studies indicate that GM continues to be unevenly implemented, both within and across countries. To explain this outcome, this paper focuses on the local implementers of GM — the gender focal points — and how they understand GM and interpret it in their everyday work. Drawing upon interviews with gender focal points in the Canadian public service, we explore how bureaucratic role perceptions shape how these local actors understand GM and how they navigate the complex terrain between bureaucratic neutrality and the equality agenda of gender mainstreaming. Our exploratory study shows no common understanding among our interviewees, revealing how the meaning of gender mainstreaming varies depending on whether the public servant views himself or herself as policy analyst, policy advisor or policy advocate. Based on these insights, we conclude with suggestions for future research on gender mainstreaming.

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.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.240
Threshold uncertainty score0.740

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 studies0.0010.000
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 head0.023
GPT teacher head0.273
Teacher spread0.250 · 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