Bibliographic record
Abstract
The purpose of this thesis is to investigate the factors that have caused the retardation m church growth of Korea. The Korean church is famous for its rapid growth in numbers that occurred in the third quarter of the twentieth century. Since the late 19805, however, Korean churches showed the low rate of increase of gaining members. Especially, ?he churches are experiencing the decrease of numbers in the age of youth and college. The Korean society is entering into the aging society that shows the rapid increase of portion of aged people in the whole population. In addition, since the beginning of 1990s, churches without self-support have increased and many churches have been closed or abandoned due to financial embarrassment. Moreover, the Korean protestant church is ranked low in surveys asking favorable religions upon Korean society. More fhan seventy percents of the respondents of those surveys showed negative attitudes toward pastors and churches in Korea. While one can raise the issue in terms of internal aspects of the church, the reasons of sluggish growth can be also examined in the social perspective related with the present situation of Korean society. First of a1l, the drastic changes in social structure in Korea may be one of th~ main factors that impacted upon the sluggishness of Korean church. Since 19908, the middle class people have formed the majority of the society. As Individualism has grown, the community spirit has been being dissolved. These social changes caused lax in the modem people and disinterest in religious affairs. In addition, the growth of entertainment business attracted people from religious activities. The Korean church shall require leaders that are equipped with creativity, insights, and spiritual quality to interpret and respond to the above-mentioned social changes.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.044 | 0.011 |
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".