Bibliographic record
Abstract
With an aim of identifying women coping capabilities in post disaster, the research objective of this paper is toanalyze women resilience within the context of four primary sets of adaptive capacities – economic development,social capital, information and communication, and community competence. Such capabilities have enabledwomen in post disaster situations in Indonesia to adapt to post disaster situations, fostered acquisition of newskill that have enhanced their contribution to family livelihoods and communities, as well as post disaster socioand economic recovery. The paper points at some reason why women have their capability to return to evenbetter life after disaster. It suggests that social capital, economic development, information and communicationas well as cultural-based competence provide an effective and sustainable assistance to crisis-affected women.The originality of this paper is that the issue of women being vulnerable to disasters has gained strength in manyreviews of disaster research. Nonetheless, based on results of this research, the notion of women vulnerability isdiscounted. Women resilience is enhanced in an environment that is characterized by robust availability, easyand quick access to resources, which can easily be deployed to reduce the impact of the disaster.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.002 |
| 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".