Migrant and Refugee Women: A Case for Community Leadership
Bibliographic record
Abstract
"The current paper posits that forced migration, as seen as a movement through a liminal space, provides the opportunity for refugee women to build upon their resilience and create social capital to find new ways and spaces to engage in community leadership. Escalating conflict in different parts of the world has led millions of people to flee their homelands in search of safety and protection. Based on recent statistics shared by the World Bank, more than 100 million people were forcibly displaced by May 2022, and two-thirds of the world's poor population is expected to live in settings dominated by conflict and violence by 2030 (World Bank, 2022). The United Nations High Commissioner for Refugees (UNHCR) (2023) estimated that women and girls comprise around 50% of any refugee population; the percentage grows even larger when all refugee children are included."
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 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 | 0.007 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.046 | 0.032 |
| Scholarly communication | 0.012 | 0.010 |
| Open science | 0.004 | 0.021 |
| Research integrity | 0.009 | 0.015 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".