Assisting and Protecting Refugee Women: A Policy Analysis
Bibliographic record
Abstract
The number of refugees and internally displaced persons (IDPs) has risen sharply over the last decade. This trend is the result of several causes such as the impact of climatic change, conflicts over diminishing resources, and religious and ethical disagreements. The largest and most vulnerable subgroup among refugees is women and their dependent children, and they are frequently subject to abuse and neglect. To address protection issues, the United Nations High Commissioner for Refugees (UNHCR) released the Policy on Refugee Women in 1990. The authors provide a comprehensive policy analysis, building on an exploration of the historical background and a presentation of policy goals. This exploration sets the stage for a discussion of the influence and viewpoints of major interest groups, such as donors, governments, and non-governmental organizations. The authors draw upon casestudies and a variety of literary resources to explore diversity issues, social justice concerns, and ethical interests. Furthermore, the authors assess the policy's implementation success by using the categories of positive outcomes (institutional change, new programming tools, improvement in refugee situation) and unintended outcomes (cultural and religious opposition, one-sidedness, negative conception). Finally, the authors present a comparison of the applications and implications of the 1990 UNHCR Policy from a global perspective, focusing primarily on the United States, United Kingdom, and Canada as exemplary countries. The paper concludes with a set of recommendations for policymakers and project managers to further improve protection and assistance programs to meet the needs of refugee women and girls worldwide. © Common Ground, Barbara J. Kampa, Raphael Nawrotzki, All Rights Reserved.
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 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 | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".