In the Path of Disasters: Psychosocial Issues for Preparedness, Response, and Recovery
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The psychosocial impacts of disasters are profound. In recent years, there have been too many reminders of these impacts and the dire needs of the people involved. The purpose of this article is to present the following themes from the psychosocial literature on disasters and emergency management: (1) differential impacts of disasters according to gender and age; (2) prevention efforts to reduce racial discrimination, rape, and other forms of abuse; (3) readiness for cultural change toward prevention and preparedness; and (4) the need to involve aid beneficiaries as active partners in relief strategies, particularly during reconstruction of communities and critical systems. Psychosocial needs change throughout the disaster cycle, particularly as social support deteriorates over time. It is important to anticipate what psychosocial needs of the public, emergency responders, support staff, and volunteers might emerge, before advancing to the next stage of the disaster. Particular consideration needs to be directed toward differential impacts of disasters based on gender, age, and other vulnerabilities.
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.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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 it