A Comparative Study of Family Functioning, Health, and Mental Health Awareness and Utilization Among Female Bedouin-Arabs From Recognized and Unrecognized Villages in the Negev
Bibliographic record
Abstract
A good portion of geography is contested by the Israeli state and the country's Bedouin-Arab population. There are two categories of Bedouin villages: those areas that are "officially" recognized by the state and those that are not. In this article we determine utilization and awareness of health and mental health services among 376 Bedouin-Arab women in recognized and unrecognized villages in the Negev. Although there are differences between them, primary health care (PHC) services usually are available within recognized villages, accessible to those from unrecognized villages, and tend to precipitate user satisfaction. We conclude with various suggestions for improving health service delivery and making PHC and mental health delivery more accessible. Through this article we intend to help mental health practitioners on two levels: the policy level, regarding the design of mental health services for societies in transition, such as the Bedouin Arab, and the practical level by helping practitioners better appreciate the psychosocial status of women in Bedouin-Arab societies and the factors associated with Bedouin-Arab PHC utilization.
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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 | 0.000 | 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".