Patterns of Vulnerability Among Women in Urban Flooding in Can Tho City, Vietnam
Bibliographic record
Abstract
This paper identifies the dimension of the economic impact on women, their additional roles and health problems, and limited capacity in the new flooding context. This research found that when women are exposed to different levels of flooding, they have different susceptibilities. Women in low flooding level are less susceptible and vice versa. The susceptibilities are the economic losses, the external roles and health problems. From the consequences of those susceptibilities, it created the burden on women, which created less opportunities to participate in learning and improving new knowledge compared to men in their families and communities. The research found that women are always more vulnerable than men in flooding disasters. It also meant that women are “victim” subjects. Women faced the problem because of the social norms, it has not been changing in the gender differences. Therefore, society needs to change the way to look at women, not seeing them as "victim" objects. This research used secondary data to review the existing information on socio-economic contexts in order to obtain the overall picture of the field site and the women’s life changes, semi-structured interviews, participant observation, and key information personals.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".