Cascading catastrophes: gendered experiences of the pandemic among Typhoon Haiyan survivors in Tacloban City
Bibliographic record
Abstract
Purpose To understand the gendered impacts of the cascading disasters that represent the COVID-19 pandemic on Typhoon Haiyan survivors living in resettlement sites in Tacloban City, the city most devastated by the 2013 Typhoon Haiyan. Design/methodology/approach Findings are based on household surveys conducted for an exploratory project broadly studying the effects of COVID-19 on resettlement site residents. Fieldwork was conducted in June 2021 with 357 Typhoon Haiyan survivors living in four resettlement sites in Tacloban City during COVID-19. Findings Female Typhoon Haiyan survivors have been disproportionately affected by the pandemic in terms of their mental health, the amount and quality of food available to them, their monthly income, livelihood and caretaking responsibilities. We also find that the pandemic has highlighted the gaps in services available to residents, such as mental health and sexual or reproductive services. Originality/value This paper contributes to the limited primary data available on the impacts of the pandemic on Typhoon Haiyan survivors, particularly its gendered impacts. It also adds to the literature on cascading disasters from a gender perspective. It disrupts the traditional dichotomy between vulnerability and resilience by demonstrating how women exhibit both traits in response to disasters due to imposed external conditions.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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".