Investigating Teacher’s Professional Life Quality Levels in Terms of the Positive Psychological Capital
Bibliographic record
Abstract
This study, which investigated the relationship between teachers’ professional life qualities and positive psychological capital, was designed in a relational screening pattern in the quantitative research method. Teachers, who worked in primary, secondary and high school in Erzincan city centre of Turkey in 2014-2015 academic year, participated in the research. The study group consisted of totally 182 teachers selected by random sampling method from the research field. The research data were collected through two different scales as “Professional Life Quality” and “Positive Psychological Capital”. The obtained data were subjected to frequency, arithmetic mean, and correlation and regression analysis with SPSS 22 program. According to the results obtained from the research, it was found out that the positive psychological capital levels and quality of professional lives of teachers were high. According to the results of the study, it was noticed that there was a significant positive correlation between the teachers’ professional life qualities and positive psychological capital levels. Another result obtained from the research was that teachers’ professional life qualities were a significant predictor on their positive psychological capitals.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".