Health-related Quality of life of Gaza Palestinians in the aftermath of the winter 2008-09 Israeli attack on the Strip
Bibliographic record
Abstract
BACKGROUND: We document the health-related quality of life (HRQoL) of people living in the Gaza Strip 6 months after 27 December 2008 to 18 January 2009, Israeli attack. METHODS: Cross-sectional survey 6 months after the Israeli attack. Households were selected by cluster sampling in two stages: a random sample of enumeration areas (EAs) and a random sample of households within each chosen EA. One randomly chosen adult from each of 3017 households included in the survey completed the World Health Organization Quality of Life instrument, in addition to reported information on distress, insecurities and threats. RESULTS: Mean HRQoL score (range 0-100) for the physical domain was 69.7, followed by the psychological (59.8) and the environmental domain score (48.4). Predictors of lower (worse) scores for all three domains were: lower educational levels, residence in rural areas, destruction to one's private property or high levels of distress and suffering. Worse physical and psychological domain scores were reported by people who were older and those living in North Gaza governorate. Worse physical and environmental domain scores were reported by people with no one working at home, and those with worse standard of living levels. Respondents who reported suffering stated that the main causes were the ongoing siege, the latest war on the Strip and internal Palestinian factional violence. CONCLUSION: Results reveal poor HRQoL of adult Gazans compared with the results of WHO multi-country field trials and significant associations between low HRQoL and war-related factors, especially reports of distress, insecurity and suffering.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".