Bibliographic record
Abstract
The purpose of the study is to find ways to improve wasted human resources of Korean women church workers. Korean women church workers (evangelists or pastors) have played significant roles for Korean church growth. In Korean Religion DB(1997), among 10 million Christians (35% male and 65% female), of which 3,907 women and 22,321 men pastors were registered. This study is composed of the survey method and an open-ended questionnaire. Four hundred and three women church workers were randomly selected out of 4 major denominations: Presbyterian (Hapdong), Presbyterian(Tonghap), Presbyterian (Kichang), Methodist(Kigam). Twenty five questions provided in five subject areas namely; Training and Placement, Present Appointment, Call to Ministry, Problem Areas, and Suggestions for future women pastors - are analyzed and quantified. Percentile statistics was used for analysis. The result shows the social and cultural barriers that Korean women pastors are facing. Although Korean women pastors are equally educated as men pastors, they are limited by gender bound, non-professional areas without minimum financial guarantees. They have been diligent toilers, silent workers, and patient servers. Nevertheless they are working as care-givers, educators for the young and counselors mainly for women. However, their contract remains annually with senior pastors. Their salary usually reaches a quarter of a senior pastor's. Although women's resources have been indispensable human capital for the Korean churches, they have been under-utilized and undervalued because of the social and cultural barriers that Koreans are still facing. Although some denominations ordain women pastors, Korean women pastors remain to be fully mobilized for the Korean church community. Female church leaders are still invisible and are not recognized as valuable human resources in Korean churches. The tradition of professionalism could be traced back to the so-called Bible-Women who sold Bibles and learned the Bible at church school. They were active drivers of rapid church growth. Hence, present and future Korean women pastors must practice to be professionals in order to carry out their roles. Many women pastors answered that the most urgent task is to be professionalized in many areas. Three professionalized tasks were suggested: first, possessing human capital; second, forming strongly tied social networks; and third, possessing technological dexterity.
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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 | 0.001 | 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 | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".