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Feminist International Assistance Policy Kanada: Studi Kasus Bantuan CFLI untuk Jakarta Feminist 2017–2021

2022· article· en· W4401980757 on OpenAlexaboutno aff
Sekarbumi Drajad Al Anbiya, Musa Maliki, M. Chairil Akbar Setiawan

Bibliographic record

VenueAndalas Journal of International Studies (AJIS) · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Human Rights and Reproductive Law
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

This article aims to analyze the assistance provided by the Canada Fund for Local Initiatives to the Jakarta Feminist in the 2017-2021 period as one of the proofs that Canada's Feminist International Assistance Policy has so far been running smoothly. In addition, this article also aims to correct the misunderstandings of foreign policy observers regarding FIAP as a feminist foreign policy. FIAP has so far only used elements of Liberal Feminism as a lens of observation to focus on their foreign aid agenda to achieve a safe, inclusive, and prosperous world development. Therefore, this article argues that FIAP does contain elements of Feminism but focuses more on assisting non-profit organizations in developing countries, one of which is Indonesia. By using a descriptive qualitative research method that processes primary and secondary data from personal interviews and literature review, this article finds that CFLI, under the auspices of FIAP, has been successful in assisting the Jakarta Feminist in 2017-2021 and has also managed to reveal that FIAP is not a feminist foreign policy. FIAP oversees several foreign aid programs initiated by Canada for developing countries, one of which is CFLI.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.842
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0030.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.045
GPT teacher head0.377
Teacher spread0.332 · 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.

Study designNot applicable
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

Citations0
Published2022
Admission routes1
Has abstractyes

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