Problems Experienced by Science and Art Center Teachers in the Project Consultancy Process and Suggestions for Solutions: A Phenomenological Research
Bibliographic record
Abstract
In this research, the problems experienced by the teachers in Science and Art Centers (BILSEM) during their consultancy processes of projects and the suggestions for these problems were examined. 15 teachers working in Nuray Tuncay Kara and Şahinbey Municipality BILSEMs Gaziantep Province participated in this study, which was designed in the qualitative research method and case study pattern. Criterion sampling, maximum variation sampling and easily accessible sampling were used together to determine the participants of the study. The research data were gathered with a semi-structured interview form prepared by the research group and the gathered data were analyzed through content analysis and descriptive analysis. According to the results of the research, a significant part of the participants stated that the project consultancy process provides maximum job satisfaction, that financial and cooperation problems are experienced mostly in the process in which colleague support is important in solving the problems, that a budget for projects should be planned. The findings of the research were discussed regarding the relevant literature and some suggestions were made based on the research results.In this research, the problems experienced by the teachers in Science and Art Centers (BILSEM) during their consultancy processes of projects and the suggestions for these problems were examined. 15 teachers working in Nuray Tuncay Kara and Şahinbey Municipality BILSEMs Gaziantep Province participated in this study, which was designed in the qualitative research method and case study pattern. Criterion sampling, maximum variation sampling and easily accessible sampling were used together to determine the participants of the study. The research data were gathered with a semi-structured interview form prepared by the research group and the gathered data were analyzed through content analysis and descriptive analysis. According to the results of the research, a significant part of the participants stated that the project consultancy process provides maximum job satisfaction, that financial and cooperation problems are experienced mostly in the process in which colleague support is important in solving the problems, that a budget for projects should be planned. The findings of the research were discussed regarding the relevant literature and some suggestions were made based on the research results.
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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 | 0.017 | 0.035 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.014 | 0.012 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.001 | 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".