Этнокультурные аспекты феминистского движения в странах Глобального Юга Ethnocultural Aspects of the Feminist Movement in the Global South
Bibliographic record
Abstract
В статье рассматриваются особенности феминистского движения в различных этнокультурных средах стран Азии, Африки и Латинской Америки (Глобальный Юг) на протяжении нескольких десятилетий ХХ и начала ХХI веков. Фокус исследовательского внимания сосредоточен на процессах формирования различных видов гендерной идентичности в рамках как региональных, так и мировых феминистских течений. Основу изложенного материала составляет анализ позиций представителей различных волн мирового феминистского движения и результатов проведения четырех крупнейших Женских форумов, проходивших под эгидой ООН в 1975 г. (Мексика), в 1980 г. (Копенгаген), в 1985 г. (Найроби), в 1995 г. (Пекин). Особое внимание уделено фактографическим данным, опубликованным в рамках справочного документа, подготовленного к 25-ой годовщине Женского форума в Пекине Максин Мулинье, (Maxine Molyneux), Малу А. С. Гато (Malu A. C. Gatto) и Адрихой Дэй (Adrija Day), и изложенного в виде «Политической декларации» в марте 2020 г. на 64-ой Сессии Комиссии по положению женщин (Political declaration 2020). Сравнительный анализ документов и опубликованных интервью позволил автору данной статьи сделать вывод об основных тенденциях формирования новой гендерной идентичности среди населения стран Азии, Африки и Латинской Америки на современном этапе. The article examines the feminist movement in various ethnocultural environments in Asia, Africa and Latin America (Global South) over several decades of the 20th – early 21st centuries. The research is focused on the formation of various types of gender identity within both regional and global feminist movements. The work is based on the analysis of various waves of the world feminist movement and the results of the four largest Women's Forums held under the auspices of the UN in 1975 (Mexico), 1980 (Copenhagen), 1985 (Nairobi) and 1995 (Beijing). Particular attention is paid to the data published as background paper prepared for the 25th anniversary of the Beijing Women's Forum by Maxine Molyneux, Malu A.C. Gatto and Adrija Day, and adopted as a political declaration at the 64th Session of the Commission on the Status of Women in March 2020 (Political declaration 2020). A comparative analysis of documents and published interviews allowed the author of this article to draw a conclusion about the main trends in the formation of new gender identities among the population of Asia, Africa, and Latin America at present.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.019 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".