Investigating professional learning communities in Turkish schools: the effects of contextual factors
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A great number of studies have focused on professional learning communities in schools, but only a limited number of studies have treated the construct of professional learning communities as a dependent variable. The purpose of this research is to investigate Turkish schools’ capacity for supporting professional learning communities and to examine factors that account for variation in the current level of development. The data for this study were collected from 492 school staff members, including teachers, principals and assistant principals, working at 27 schools across nine provinces of Turkey. Results indicate that school staff had a culture of sharing and collaboration, but suffered from a lack of material and human resources required for supporting effective learning communities. The experience of the staff, as well as the size and socioeconomic status of the school, appeared to be the most important factors in predicting the variation in the available professional learning communities. The results are discussed considering current educational policy and practice in Turkey.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it