Exploring the displacement induced changes in social convoys and support for older women in displacement (<scp>OWD</scp>) in Abuja, Nigeria
Bibliographic record
Abstract
Abstract The world is witnessing a dramatic increase in displaced persons in Africa, Asia, South America, and, most recently, Europe. Within this population of violence‐induced displacement are older women, a group that is mostly unseen because research and relief initiatives primarily target younger women and children. This study aimed to explore the changes in the convoys and support for older women in displacement (OWD). Qualitative data were collected from nine OWD using art‐based convoys of concentric circles and interviews. The collected data were analysed in themes, and findings revealed that while there has been intervention from formal organisations to fill the displacement‐induced support gap, supports are still limited, sporadic, not focused on the peculiar needs of OWD, not guided by any framework, and mainly material in design. The study concluded by recommending sustainable support to help OWD become empowered to cope effectively without aid.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 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 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".