UPAYA PEMERINTAH KANADA DALAM MENINGKATKAN KESETARAAN GENDER DI IRAK MELALUI PENDEKATAN FEMINISME TAHUN 2017-2023
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.
Bibliographic record
Abstract
Canada has implemented various initiatives in Iraq focused on combating gender-based violence and discrimination. In this article, Canada implemented multiple initiatives to improve women's equality in Iraq between 2017 and 2023 by launching programs designed to reduce gender-based violence and discrimination, in line with the Feminist International Assistance Policy (FIAP). This article employs a qualitative research methodology, utilizing concepts such as Gender Inequality, Feminist Foreign Policy, and the 3R framework (Women's Rights, Representation, Resources) to analyze the Canadian government's efforts toward achieving gender equality in Iraq. The findings indicate that FIAP has played a significant role in increasing Iraqi women's participation in public life and the success of initiatives targeting gender inequality. Canada's multifaceted approach has included establishing women's hotlines, providing legal consultation, and supporting women's economic empowerment. This research contributes to a deeper understanding of how feminist foreign policy can be effectively implemented to achieve gender equality in developing countries. The study demonstrates the potential of FIAP as an impactful solution for addressing persistent gender disparities in various international contexts.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it