MétaCan
Menu
Back to cohort
Record W2974199769 · doi:10.1353/sais.2019.0003

Feminist Foreign Policy 3.0: Advancing Ethics and Gender Equality in Global Politics

2019· article· en· W2974199769 on OpenAlexaboutno aff
Karin Aggestam, Annika Bergman Rosamond

Bibliographic record

Venue˜The œSAIS review of international affairs · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Security, and Conflict
Canadian institutionsnot available
Fundersnot available
KeywordsForeign policyPoliticsNorm (philosophy)Political scienceGender equalityInternational relationsForeign policy analysisGlobal politicsForeign relationsSecurity policyGender studiesPublic administrationPolitical economySociologyLaw

Abstract

fetched live from OpenAlex

A growing number of states, including Canada, Norway, Sweden, Australia, and the United Kingdom, have adopted gender- and feminist-informed approaches to their foreign and security policies. Sweden’s feminist foreign policy was launched in 2014 and rests on the idea that gender equality is central to security and foreign policy. This article conducts an analysis of the incremental development of Sweden’s feminist foreign policy. It underlines three pillars that have informed Swedish foreign policy: rights, representation, and resources. The article assesses how these three pillars have been transformed into distinct policy and practice. It makes the following three conclusions. First, Sweden’s feminist foreign policy is distinguished by its working method pertaining to norm change whereby gendered practices and structures in global politics are challenged. Second, from the outset Sweden’s feminist foreign policy has pursued a head-wind agenda, which reflects a readiness to confront contestation in global politics. Third, as a way of tackling resistance and promoting pro-norm equality diffusion a fourth “R” has been advanced, which stands for reality checks and research.

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)0.015
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.092

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0060.029
Scholarly communication0.0120.007
Open science0.0010.006
Research integrity0.0080.008
Insufficient payload (model declined to judge)0.0060.001

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 head0.048
GPT teacher head0.390
Teacher spread0.342 · 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 designTheoretical or conceptual
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

Citations30
Published2019
Admission routes1
Has abstractyes

Explore more

Same venue˜The œSAIS review of international affairsSame topicGender, Security, and ConflictFrench-language works237,207