MétaCan
Menu
Back to cohort
Record W1993239781 · doi:10.1080/11926422.2014.977310

The erasure of “gender” in Canadian foreign policy under the Harper Conservatives: the significance of the discursive shift from “gender equality” to “equality between women and men”

2015· article· en· W1993239781 on OpenAlexafffundabout
Rebecca Tiessen, Krystel Carrier

Bibliographic record

VenueCanadian Foreign Policy Journal · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Security, and Conflict
Canadian institutionsRoyal Military College of CanadaUniversity of OttawaGlobal Affairs Canada
FundersForeign Affairs and International Trade Canada
KeywordsGender equalityScholarshipGender studiesAgency (philosophy)Foreign policyPromotion (chess)Political scienceGovernment (linguistics)FeminismSociologyPoliticsPublic administrationLawSocial science

Abstract

fetched live from OpenAlex

s/RésumésAn important discursive shift took place in 2009 when government staff in the Department of Foreign Affairs and International Trade (DFAIT) and the Canadian International Development Agency (CIDA) – now the Department for Foreign Affairs, Trade and Development (DFATD) – were instructed to replace the term “gender equality” with “equality between women and men”. In this article, we document Canada's role as a self-proclaimed leader in the promotion of gender equality prior to 2009, and feminist critiques of Canadian foreign policy over time. We draw on feminist theory and critical foreign policy scholarship as well as interviews with mid-level bureaucrats to understand the reasons for – and implications of – the change in discourse from “gender equality” to “equality between women and men”. We argue that the shift in language was significant for several reasons including a departure from Canadian best practices and Canadàs international identity in the promotion of gender equality in recent history.

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)0.007
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.194
Threshold uncertainty score0.934

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0500.030
Scholarly communication0.0120.003
Open science0.0010.003
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0050.000

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 head0.098
GPT teacher head0.343
Teacher spread0.246 · 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

Citations37
Published2015
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Foreign Policy JournalSame topicGender, Security, and ConflictFrench-language works237,207