Trailing and Projecting the Real Population of Bangkok to 2030
Bibliographic record
Abstract
Due to imbalanced supplies of medical and healthcare resources between the capital city and other areas, Bangkok attracts its non-residents to access hospitals in the city only for giving births. This causes overestimation of Bangkok’s fertility rate and affects results of population projection. Therefore, this paper aims to project real Bangkok population numbers by age group and sex to 2030 by eliminating the influence of Bangkok-born outsiders. It introduces a new fertility rate calculation based on data from National Statistical Office of Thailand. The results show that in 2010 the total fertility rate of Bangkok was merely 0.8. All components being fixed, the projection displays shifts in population age structure, the age group with highest numbers from 25-34 years old in 2010 to 40-44 years old in 2030. Percent aging population expands from 9.6 to 22.6 percent. Furthermore, proportion of population aged 0-14 shrinks from 12.8 percent to 9.6 percent, which means Bangkok in 2030 is expected to face a seriously low number of young populations in opposite to its large number of elderly.
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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 | 0.005 | 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".