Demographic Shift in the Age Structure of the Population of Anbar Province (Ramadi District as a Model) (1997-2023)
Bibliographic record
Abstract
The study aims to determine the extent of the demographic shift in the composition of the age structure, and its indicators: the dependency ratio and the index of longevity for the residents of Ramadi District in Anbar Governorate between the years and to reveal the amount and direction of change, whether negative or positive, between the categories of the age structure and the dependency ratio of its types and the index of longevity, and to know The amount of labor force growth and its relative representation.To trace the phenomenon historically, the study took the historical approach between the years , as well as the descriptive approach in interpreting and analyzing the phenomenon, and its relationship with other phenomena, within the borders of the administrative territory of Ramadi District in Anbar, and adopted the 1997 census data for the beginning of the time period, and the field survey for the year 2023.The study sample consisted of ( 716) individuals (households), distributed as (453) in urban areas and ( 263) in rural areas.The study found that the demographic shift in the structure of the age structure was clear during the study period in favor of the middle-aged group (14-64) and the elderly (65 and over), with an increase in their proportional representation at the expense of the young group (0-14) in 2023.Due to the decrease in fertility and the increase in the life span of the population, the study also revealed a decrease in the total dependency ratio and the dependency of the young due to a decrease in the relative representation of the dependent young group, an increase in the representation of the middle-aged group of breadwinners, and an increase in the dependency of the elderly and evidence of longevity.Due to the high proportional representation of the elderly group (65 and over) in the age structure.Due to the change in the structure of the age structure and the dominance of the middle-aged group (14-64) over the largest percentage of representation, the decline in the proportional representation of the young group (0-14) and the doubling of the proportional representation of the elderly group (65 and over) this shift contributed to the impact despite the change in its indicators, with a decrease in the proportion of dependency of young people and total dependency, and an increase in dependency of the elderly and the evidence of longevity, and to contain the rapid growth of the economically active forces and to achieve an acceptable level of development and not to waste this wealth of manpower, the decision-making bodies must take planning measures to advance economic activities and provide job opportunities in a way that this growth corresponds to achieve an advanced level of development.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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 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".