A Study of the Issues and Proposed Solutions for the Operation of the Gyeonggi-Do Career Center: Focusing on the Ordinances
Bibliographic record
Abstract
The purpose of this study is to identify the heads of the Gyeonggi Career Experience Support Center's perceptions of the operation of the center and to suggest policy directions for qualitative growth and performance enhancement of the center. A total of 10 participants, including 2 Gyeonggi scholars in charge of career pathways and 8 leaders of the Gyeonggi career experience support center, participated in the first Delphi test and the second and third in-depth interviews. As a result of the first Delphi survey, in-depth interviews were conducted by nomadizing them into an organization, work, qualification, training, and others. First, the organization cited the stability of status, the size of the organization of qualified employees, and the standardized center assessment index as a result of the in-depth interview. Second, the division of tasks based on significance and the usage of the Base Center were discussed since it is difficult to complete all of the tasks specified in the ordinance. Third, qualification and training refer to the expansion of qualifications and periodic training of center members. Fourth, others referred to the revision of ordinances, consulting, and establishment of a career education center. In conclusion, it was first suggested to ensure the homogeneity of the organizational structure and human resources throughout 31 career experience support centers in Gyeonggi-do. Second, it was advised that the center employees broaden their credentials and offer training to develop their skills in order to obtain expertise in accordance with the expansion of the center's activity. Lastly, a proposal was made to construct the Gyeonggi Jinro Education Center as the control tower for the administrative and financial support of 31 centers in Gyeonggi-do.
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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 | 0.012 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.011 | 0.007 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".