Bibliographic record
Abstract
The present study utilizes nationwide health statistical data to examine the levels, trends, and differentials in infant mortality in Kuwait during the pre-invasion (1985-89) and postliberation (1992-96) periods. The analysis reveals a considerable and statistically significant decline in infant mortality during both spans; that drop is far more substantial in the pre-invasion than in the postliberation period. On average, the rates of infant mortality are higher among non-Kuwaitis than among Kuwaitis. There was a significant rise in premature births (birth weight less than 2.5 kg) in the postliberation period for both Kuwaitis and non-Kuwaitis. More than 80 percent of all infant deaths occur in government hospitals. No evidence of any seasonal variation in infant mortality is indicated. In both nationality groups, there is higher mortality among males. The maximum level of mortality is found in the perinatal stage. Thus, it is recommended that greater attention be given to perinatal care and genetic coun...
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".