Examination of Teachers’ Perceptions of Individual Values in Their Workplaces: A Case of Burdur Province
Bibliographic record
Abstract
The purpose of the research is to reveal the individual values perceptions of the teachers working in the Burdur Provincial Directorate of National Education operating under the body of the Ministry of National Education. Participants comprised 131 male and 169 female teachers. When the mean and standard deviation values regarding the teachers’ perceptions of individual values in their workplaces were examined, it was seen that they agreed with the discipline and responsibility dimension, they were undecided about the trust and forgiveness dimension, and they agreed with the honesty and sharing dimension as well as the respect and truth dimension. When perceptions were examined according to range values for the respect and truth dimension, there were significant differences the trust and forgiveness dimension and the sharing and respect dimension. Accordingly, male teachers’ perception levels in the trust and forgiveness dimension were significantly higher than the levels of the female teachers. On the other hand, the perception levels of the female teachers in the sharing and respect dimension were significantly higher than the levels of the male teachers. The perception levels of the single teachers in the trust and forgiveness dimension were significantly higher than the levels of the married teachers. On the other hand, the perception levels of the married teachers in the sharing and respect dimension were significantly higher than the levels of the single teachers. According to the results that we evaluated by the task type variable, a significant difference between groups was observed only in the trust and forgiveness dimension. Accordingly, the perception levels of the contracted teachers in the trust and forgiveness dimension were significantly higher than the levels of the permanent teachers.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".