The Position of Women in Kosovo-Perspectives and Socio-Economic Challenges
Bibliographic record
Abstract
This research aims to analyse the current levels of women's participation in public social, economic, and political life and their position in decision-making processes in Kosovo.The paper deals with aspects related to the social perspective of women in society and the development of Albanian customary Law in Kosovo.To conduct this analysis, a descriptive analysis was conducted and statistics were presented in percentages.This study highlights the thoughts and evaluations of prominent Albanian anthropology contemporary researchers.focusing on relevant aspects of Albanian ethnocultural life, this study highlights women's importance in building a family, working, and social interaction.Women play a vital role in today's society; they obtain the best education and possess many skills and qualifications through which they provide satisfactory results in many dimensions.In addition, women have managed to occupy prestigious positions, lead, and be part of state institutions despite their challenges due to their lack of representation in decision-making positions.They now do not feel inferior to men, manage to make important decisions, and are even elected, as is the case of Kosovo, as a country's president.Furthermore, this study explores the status of women in society through the lens of codification of customary law, "The Code of Leke Dukagjini", as well as the socio-cultural, economic, and social changes in women's rights today in Kosovo.
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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 | 0.007 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".